CN104856684A - Moving object acquisition method and system - Google Patents

Moving object acquisition method and system Download PDF

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Publication number
CN104856684A
CN104856684A CN201510170181.7A CN201510170181A CN104856684A CN 104856684 A CN104856684 A CN 104856684A CN 201510170181 A CN201510170181 A CN 201510170181A CN 104856684 A CN104856684 A CN 104856684A
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China
Prior art keywords
moving target
skeleton
human
target acquisition
action form
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CN201510170181.7A
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Chinese (zh)
Inventor
王洁
党少军
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Shenzhen Virtual Reality Technology Co Ltd
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Shenzhen Virtual Reality Technology Co Ltd
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Priority to CN201510170181.7A priority Critical patent/CN104856684A/en
Publication of CN104856684A publication Critical patent/CN104856684A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1123Discriminating type of movement, e.g. walking or running
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022Monitoring a patient using a global network, e.g. telephone networks, internet
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121Determining geometric values, e.g. centre of rotation or angular range of movement
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part

Abstract

The invention discloses a moving object acquisition method. According to the moving object acquisition method, the skeleton information of a human body is acquired through a plurality of inertial sensors worn on human joints, and the acquired skeleton information is transmitted to a terminal through wireless transmission; when the terminal receives the skeleton information, the moving state of the human body is confirmed according to the received skeleton information. The invention further discloses a moving object acquisition system. The moving object acquisition system is small in size, low in cost, and high in sensitivity and real-time performance.

Description

Moving target acquisition method and system
Technical field
The present invention relates to field of information acquisition, especially moving target acquisition method and system.
Background technology
Infomation detection and the recognition methods of current moving target generally include optical flow method, frame-to-frame differences method, Background difference and background estimating method, all adopt camera collection dynamic image, then based on combining image pattern recognition on the basis of dynamic image analysis and image tracking method, the target in image sequence is detected, identify, the process of following the tracks of, but, all need in above-mentioned several method to adopt photographic head to carry out video acquisition, very inconvenient when carrying and use, therefore, how to facilitate and gather quickly and identify moving target information, it is a problem demanding prompt solution.
Summary of the invention
Main purpose of the present invention is to propose a kind of moving target acquisition method and system, is intended to solve when using traditional moving object detection algorithm identification moving target, needs to adopt photographic head to carry out video acquisition, the problem of being inconvenient to carry and use brought.
For achieving the above object, the invention provides a kind of moving target acquisition method, described moving target acquisition method comprises step:
Gather human skeleton information by several inertial sensors be worn on human synovial, and described bone information is sent to described terminal by wireless transmission method;
Described terminal receives described bone information, according to the kinestate of described bone information determination human body.
Preferably, described inertial sensor is nine axle sensors, comprises three-axis gyroscope, 3-axis acceleration sensor and three axle magnetic induction sensors, and the described step by being worn on several inertial sensors collection human skeleton information on human synovial comprises:
Absolute force information when skeletons move is gathered by rotary acceleration information when angular velocity information during described three-axis gyroscope collection skeleton motion, described 3-axis acceleration sensor collection skeleton motion, described three axle magnetic inductors.
Preferably, described terminal receives described bone information, and the step according to described bone information determination kinestate comprises:
The described bone information obtained and the skeleton data being preset at skeleton data storehouse are compared, determines the action form of human body.
Preferably, the described bone information obtained and the skeleton data being preset at skeleton data storehouse compare by described terminal, comprise after determining the step of the action form of human body:
Action form in the action form of described human body and preset action form data base is made similarity mode by described terminal, identifies human motion type.
Preferably, the action form of described human body and preset action form data base are made similarity mode by described terminal, comprise after identifying the step of human motion type:
Described terminal, according to the described human motion type identified, triggers corresponding virtual reality scenario.
In order to solve above-mentioned technical problem, the present invention further provides a kind of moving target acquisition system, described moving target acquisition system comprises sensor device and terminal,
Described sensor device comprises:
Inertial sensor, for gathering human skeleton information;
Sending module, is sent to described terminal for the described bone information gathered by described inertial sensor by wireless transmission method;
Described terminal comprises:
Receiver module, for receiving the described bone information that described sending module sends;
Determination module, for the described bone information received according to described receiver module, determines the kinestate of human body.
Preferably, described inertial sensor is nine axle sensors, comprising:
Three-axis gyroscope, for gathering angular velocity information during skeleton motion;
3-axis acceleration sensor, for gathering rotary acceleration information during skeleton motion;
Three axle magnetic induction sensors, for gathering absolute force information during skeleton motion.
Preferably, described determination module, also for the described bone information obtained and the skeleton data be preset in skeleton data storehouse being compared, determines the action form of human body.
Preferably, described terminal also comprises:
Identification module, for the action form in the action form of described human body and preset action form data base is made similarity mode, identifies human motion type.
Preferably, described terminal also comprises:
Trigger module, for according to the described human motion type identified, triggers corresponding virtual reality scenario.
The moving target acquisition method that the present invention proposes and system, gather human skeleton information by several inertial sensors be worn on human synovial, and described bone information be sent to described terminal by wireless transmission method; Described terminal receives described bone information, according to the kinestate of described bone information determination human body.The invention solves when using traditional moving object detection algorithm identification moving target, need to adopt photographic head to carry out the problem of being inconvenient to carry and use that video acquisition brings, moving target acquisition system volume provided by the invention is little, cost is low, highly sensitive and real-time good.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of moving target acquisition method first embodiment of the present invention;
Fig. 2 is the schematic flow sheet of moving target acquisition method second embodiment of the present invention;
Fig. 3 is the schematic flow sheet of moving target acquisition method the 3rd embodiment of the present invention;
Fig. 4 is the schematic flow sheet of moving target acquisition method the 4th embodiment of the present invention;
Fig. 5 is the high-level schematic functional block diagram of moving target acquisition system first embodiment of the present invention;
Fig. 6 is the high-level schematic functional block diagram of inertial sensor described in Fig. 5;
Fig. 7 is the high-level schematic functional block diagram of moving target acquisition system second embodiment of the present invention;
Fig. 8 is the high-level schematic functional block diagram of moving target acquisition system the 3rd embodiment of the present invention.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, Fig. 1 is the schematic flow sheet of moving target acquisition method first embodiment of the present invention, and in this enforcement, described moving target acquisition method comprises:
Step S100, gather human skeleton information by being worn on several inertial sensors on human synovial, and described bone information is sent to described terminal by wireless transmission method.
Moving target acquisition system described in the present embodiment comprises sensor device and terminal, and wherein, terminal can be desktop computer, notebook computer and smart mobile phone etc.Sensor device comprises inertial sensor and sending module, in the present embodiment, utilizes inertia action capturing technology, adopts 17 inertial sensors, measures in real time the motion at human body major skeletal position, gathers human skeleton information.17 inertial sensors are worn on the head of human body, left shoulder, right shoulder, left upper arm, right upper arm, lower-left arm, bottom right arm, left hand, the right hand, chest, waist, left thigh, right thigh, left leg, right leg, left foot and right crus of diaphragm respectively.Inertial sensor is nine axle sensors, comprise three-axis gyroscope, 3-axis acceleration sensor and three axle magnetic induction sensors, described three-axis gyroscope, described 3-axis acceleration sensor and described three axle magnetic induction sensor composition sensor nodes, described three-axis gyroscope, for gathering angular velocity information during skeleton motion; Described 3-axis acceleration sensor, for gathering rotary acceleration information during skeleton motion; Described three axle magnetic induction sensors, for gathering absolute force information during skeleton motion.Inertia action catches the position of calculating human synovial according to inverse kinematics principle, and data is applied on corresponding skeleton.Depend on ubiquitous terrestrial gravitation and magnetic field because inertia action catches, so sensor device can normally use, any preparation need not be made in advance in any place.Described bone information is sent to described terminal by wireless transmission method by transmitter module, wireless transmission method can be bluetooth, WI-FI (Chinese Wireless Fidelity by name), ZigBee (Chinese purple honeybee by name), UWB (Ultra-Wideband, ultra broadband), 3G (3rd-Generation, G mobile communication), LTE (Long Term Evolution, Long Term Evolution), WLAN (Wireless Local Area Networks, WLAN) etc.
Step S200, described terminal receive described bone information, according to the kinestate of described bone information determination human body.
Terminal receives the described bone information that described sensor device sends, and according to the kinestate of described bone information determination human body, such as, compares one by one with the skeleton data be preset in skeleton data storehouse, determine the kinestate of human body.Wherein, the kinestate of described human body comprise bend over, lateral turn, go ahead, after turn round, retreat, run forward, upwards jump, squat, sliding steps, to front jumping, seat, kicking, cross steps, retrogressing is run, single knee joint is kneeled, bow step, horse-ride step, lie, turn a somersault, hold down, lie prone, stand up, get down on both kneels, crawl forward, pedal ride, split, turn round climb, top bar, get out of a predicament or an embarrassing situation, side shovel and 31 kinds of basic actss such as to remain where one is.
The moving target acquisition method that the present embodiment provides, solve when using traditional moving object detection algorithm identification moving target, need to adopt photographic head to carry out the problem of being inconvenient to carry and use that video acquisition brings, the present embodiment is highly sensitive and real-time is good.
As shown in Figure 2, Fig. 2 is the schematic flow sheet of moving target acquisition method second embodiment of the present invention, on the basis of the first embodiment, also comprises after described step S100:
The described bone information obtained and the skeleton data be preset in skeleton data storehouse compare by step S200A, described terminal, determine the action form of human body.
The described bone information obtained and the skeleton data be preset in skeleton data storehouse compare by terminal, wherein, skeleton data when being mapped with the various kinestate of human body in described skeleton data storehouse, such as, bend over, lateral turn, go ahead, after turn round, retreat, run forward, upwards jump, squat, sliding steps, to front jumping, sit, kicking, cross steps, retreat and run, single knee joint is kneeled, bow step, horse-ride step, lie, turn a somersault, hold down, lie prone, stand up, get down on both kneels, crawl forward, pedal and ride, split, turn round and climb, top bar, get out of a predicament or an embarrassing situation, side shovel and 31 kinds of basic actss such as to remain where one is.Then obtain immediate human action type after passing through, thus determine the action form of human body.
The moving target acquisition method that the present embodiment provides, is compared the described bone information obtained and the skeleton data be preset in skeleton data storehouse by institute's terminal, determines the action form of human body.Solve when using traditional moving object detection algorithm identification moving target, the problem of being inconvenient to carry and use needing to adopt photographic head to carry out video acquisition and bring, and highly sensitive and real-time is good.
As shown in Figure 3, Fig. 3 is the schematic flow sheet of moving target acquisition method the 3rd embodiment of the present invention, on the basis of the second embodiment, comprises after described step S200A:
Action form in the action form of described human body and preset action form data base is made similarity mode by S300, described terminal, identifies human motion type.
Action form in the human action form determined and preset action form data is made similarity mode by terminal, identifies human motion type.Wherein, the various action forms of human motion type are mapped with in described action form data.Human motion type comprises competitive sport, body building and remedial exercise.The competitive events that the current whole world is current has tens of items such as track and field, gymnastics, ball, swimming, and various countries also have oneself special item, as the wushu of China.Body building refers to by free-hand or utilize various apparatus, uses the manner of execution of special science and method to perform physical exercise, and by flourishing muscle, increases muscle power, improves body and sports events for the purpose of cultivating one's taste.It can also improve human health level, improves cardio-pulmonary function, helps post-operative recovery etc.Detailed programs have a lot, common as swimming, running, gymnastics, weight lifting etc.Medical treatment fortune fortune, also known as rehabilitation exercise, a sports medical science part, refers to the physical exercise that patient carries out to coordinate some disease of healing, is the subject using various sports method treatment wound and disease.The content of therapeutic physical education, namely according to the corresponding means taked of disease character.The stroll that general employing action is light and slow, sports load is less, jog, taijiquan, the qigong, massage, conditioning exercise etc.And in the basketball movement of ball game, sum up 8 kinds of basic acts forms, comprise crouching, go ahead, retreat, run, jump, bend over, turn round and break away, whole type of sports of playing basketball is formed by these basic acts form families.
The moving target acquisition method that the present embodiment provides, makes similarity mode by described terminal by the action form in the action form of described human body and preset action form data base, identifies human motion type.Solve when using traditional moving object detection algorithm identification moving target, the problem of being inconvenient to carry and use needing to adopt photographic head to carry out video acquisition and bring, and highly sensitive and real-time is good.
As shown in Figure 4, Fig. 4 is the schematic flow sheet of moving target acquisition method the 4th embodiment of the present invention, on the basis of the 3rd embodiment, comprises after described step S300:
Step S400, described terminal, according to the described human motion type identified, trigger corresponding virtual reality scenario.
Terminal, according to the described human motion type identified, triggers corresponding virtual reality scenario.Such as, if terminal is according to described bone information and action form, recognize described type of sports for play basketball motion time, then correspondingly in virtual reality interactive environment present motion of playing basketball, drive role in virtual reality interactive environment to do a series of actions of correspondence simultaneously.If terminal is according to described bone information and action form, recognize described type of sports for play soccer motion time, then utilize virtual reality technology, correspondingly in virtual reality interactive environment present motion of playing basketball, drive the role in virtual reality interactive environment to do corresponding a series of actions simultaneously.
The moving target acquisition method that the present embodiment provides, by described terminal according to the described human motion type identified, triggers corresponding virtual reality scenario.Solve when using traditional moving object detection algorithm identification moving target, the problem of being inconvenient to carry and use needing to adopt photographic head to carry out video acquisition and bring, and highly sensitive and real-time is good.
As shown in Figure 5, Fig. 5 is the high-level schematic functional block diagram of moving target acquisition system first embodiment of the present invention, and in the present embodiment, described moving target acquisition system comprises sensor device 10 and terminal 20,
Described sensor device 10 comprises:
Inertial sensor 11, for gathering human skeleton information;
Sending module 12, is sent to described terminal 20 for the described bone information gathered by described inertial sensor 11 by wireless transmission method;
Described terminal 20 comprises:
Receiver module 21, for receiving the described bone information that described sending module 12 sends;
Determination module 22, for the described bone information received according to described receiver module 21, determines the kinestate of human body.
Moving target acquisition system described in the present embodiment comprises sensor device 10 and terminal 20, and wherein, terminal 20 can be desktop computer, notebook computer and smart mobile phone etc.Sensor device 10 comprises inertial sensor 11 and sending module 12, in the present embodiment, utilizes inertia action capturing technology, adopts 17 inertial sensors 11, measures in real time the motion at human body major skeletal position, gathers human skeleton information.17 inertial sensors are worn on the head of human body, left shoulder, right shoulder, left upper arm, right upper arm, lower-left arm, bottom right arm, left hand, the right hand, chest, waist, left thigh, right thigh, left leg, right leg, left foot and right crus of diaphragm respectively.As shown in Figure 6, inertial sensor 11 is nine axle sensors, comprise three-axis gyroscope 111,3-axis acceleration sensor 112 and three axle magnetic induction sensors 113, described three-axis gyroscope 111, described 3-axis acceleration sensor 112 and described three axle magnetic induction sensors 113 form sensor node, described three-axis gyroscope 111, for gathering angular velocity information during skeleton motion; Described 3-axis acceleration sensor 112, for gathering rotary acceleration information during skeleton motion; Described three axle magnetic induction sensors 113, for gathering absolute force information during skeleton motion.Inertia action catches the position of calculating human synovial according to inverse kinematics principle, and data is applied on corresponding skeleton.Depend on ubiquitous terrestrial gravitation and magnetic field because inertia action catches, so sensor device 10 can normally use, any preparation need not be made in advance in any place.Described bone information is sent to described terminal 20 by wireless transmission method by transmitter module 12, and wireless transmission method can be bluetooth, WI-FI, ZigBee, UWB, 3G, LTE, WLAN etc.
Terminal 20 receives the described bone information that described sensor device 10 sends, and according to the kinestate of described bone information determination human body, wherein, the kinestate of described human body comprise bend over, lateral turn, go ahead, after turn round, retreat, run forward, upwards jump, squat, sliding steps, to front jumping, seat, kicking, cross steps, retrogressing is run, single knee joint is kneeled, bow step, horse-ride step, lie, turn a somersault, hold down, lie prone, stand up, get down on both kneels, crawl forward, pedal ride, split, turn round climb, top bar, get out of a predicament or an embarrassing situation, side shovel and 31 kinds of basic actss such as to remain where one is.
The moving target acquisition system that the present embodiment provides, solve when using traditional moving object detection algorithm identification moving target, need to adopt photographic head to carry out the problem of being inconvenient to carry and use that video acquisition brings, and volume is little, cost is low, highly sensitive and real-time good.
With further reference to Fig. 5, described determination module 22, also for the described bone information obtained and the skeleton data be preset in skeleton data storehouse being compared, determines the action form of human body.
The described bone information obtained and the skeleton data be preset in skeleton data storehouse compare by the determination module 22 of terminal 20, wherein, skeleton data when being mapped with the various kinestate of human body in described skeleton data storehouse, such as, bend over, lateral turn, go ahead, after turn round, retreat, run forward, upwards jump, squat, sliding steps, to front jumping, sit, kicking, cross steps, retreat and run, single knee joint is kneeled, bow step, horse-ride step, lie, turn a somersault, hold down, lie prone, stand up, get down on both kneels, crawl forward, pedal and ride, split, turn round and climb, top bar, get out of a predicament or an embarrassing situation, side shovel and 31 kinds of basic actss such as to remain where one is.Then obtain immediate human action type after passing through, thus determine the action form of human body.
The moving target acquisition system that the present embodiment provides, is compared the described bone information obtained and the skeleton data be preset in skeleton data storehouse by institute's terminal, determines the action form of human body.Solve when using traditional moving object detection algorithm identification moving target, the problem of being inconvenient to carry and use needing to adopt photographic head to carry out video acquisition and bring, and volume is little, cost is low, highly sensitive and real-time good.
As shown in Figure 7, Fig. 7 is the high-level schematic functional block diagram of moving target acquisition system second embodiment of the present invention, and on the basis of the first embodiment, described terminal 20 also comprises:
Identification module 23, for the action form in the action form of described human body and preset action form data base is made similarity mode, identifies human motion type.
Action form in the human action form determined and preset action form data is made similarity mode by the identification module 23 of terminal 20, identifies human motion type.Wherein, the various action forms of human motion type are mapped with in described action form data.Human motion type comprises competitive sport, body building and remedial exercise.The competitive events that the current whole world is current has tens of items such as track and field, gymnastics, ball, swimming, and various countries also have oneself special item, as the wushu of China.Body building refers to by free-hand or utilize various apparatus, uses the manner of execution of special science and method to perform physical exercise, and by flourishing muscle, increases muscle power, improves body and sports events for the purpose of cultivating one's taste.It can also improve human health level, improves cardio-pulmonary function, helps post-operative recovery etc.Detailed programs have a lot, common as swimming, running, gymnastics, weight lifting etc.Medical treatment fortune fortune, also known as rehabilitation exercise, a sports medical science part, refers to the physical exercise that patient carries out to coordinate some disease of healing, is the subject using various sports method treatment wound and disease.The content of therapeutic physical education, namely according to the corresponding means taked of disease character.The stroll that general employing action is light and slow, sports load is less, jog, taijiquan, the qigong, massage, conditioning exercise etc.And in the basketball movement of ball game, sum up 8 kinds of basic acts forms, comprise crouching, go ahead, retreat, run, jump, bend over, turn round and break away, whole type of sports of playing basketball is formed by these basic acts form families.
The moving target acquisition system that the present embodiment provides, makes similarity mode by described terminal by the action form in the action form of described human body and preset action form data base, identifies human motion type.Solve when using traditional moving object detection algorithm identification moving target, the problem of being inconvenient to carry and use needing to adopt photographic head to carry out video acquisition and bring, and volume is little, cost is low, highly sensitive and real-time good.
As shown in Figure 8, Fig. 8 is the high-level schematic functional block diagram of moving target acquisition system the 3rd embodiment of the present invention, and on the basis of the second embodiment, described terminal 20 also comprises:
Trigger module 24, for according to the described human motion type identified, triggers corresponding virtual reality scenario.
The trigger module 24 of terminal 20, according to the described human motion type identified, triggers corresponding virtual reality scenario.Such as, if terminal 20 is according to described bone information and action form, recognize described type of sports for play basketball motion time, then correspondingly in virtual reality interactive environment present motion of playing basketball, drive role in virtual reality interactive environment to do a series of actions of correspondence simultaneously.If terminal 20 is according to described bone information and action form, recognize described type of sports for play soccer motion time, then utilize virtual reality technology, correspondingly in virtual reality interactive environment present motion of playing basketball, drive the role in virtual reality interactive environment to do corresponding a series of actions simultaneously.
The moving target acquisition system that the present embodiment provides, by described terminal according to the described human motion type identified, triggers corresponding virtual reality scenario.Solve when using traditional moving object detection algorithm identification moving target, the problem of being inconvenient to carry and use needing to adopt photographic head to carry out video acquisition and bring, and volume is little, cost is low, highly sensitive and real-time good.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize description of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.

Claims (10)

1. a moving target acquisition method, is characterized in that, described moving target acquisition method comprises step:
Gather human skeleton information by several inertial sensors be worn on human synovial, and described bone information is sent to described terminal by wireless transmission method;
Described terminal receives described bone information, according to the kinestate of described bone information determination human body.
2. moving target acquisition method as claimed in claim 1, it is characterized in that, described inertial sensor is nine axle sensors, comprise three-axis gyroscope, 3-axis acceleration sensor and three axle magnetic induction sensors, the described step by being worn on several inertial sensors collection human skeleton information on human synovial comprises:
Absolute force information when skeletons move is gathered by rotary acceleration information when angular velocity information during described three-axis gyroscope collection skeleton motion, described 3-axis acceleration sensor collection skeleton motion, described three axle magnetic inductors.
3. moving target acquisition method as claimed in claim 1, it is characterized in that, described terminal receives described bone information, and the step according to described bone information determination kinestate comprises:
The described bone information obtained and the skeleton data be preset in skeleton data storehouse compare by described terminal, determine the action form of human body.
4. moving target acquisition method as claimed in claim 3, is characterized in that, the described bone information obtained and the skeleton data be preset in skeleton data storehouse compare by described terminal, comprise after determining the step of the action form of human body:
Action form in the action form of described human body and preset action form data base is made similarity mode by described terminal, identifies human motion type.
5. moving target acquisition method as claimed in claim 4, it is characterized in that, the action form of described human body and preset action form data base are made similarity mode by described terminal, comprise after identifying the step of human motion type:
Described terminal, according to the described human motion type identified, triggers corresponding virtual reality scenario.
6. a moving target acquisition system, is characterized in that, described moving target acquisition system comprises sensor device and terminal,
Described sensor device comprises:
Inertial sensor, for gathering human skeleton information;
Sending module, is sent to described terminal for the described bone information gathered by described inertial sensor by wireless transmission method;
Described terminal comprises:
Receiver module, for receiving the described bone information that described sending module sends;
Determination module, for the described bone information received according to described receiver module, determines the kinestate of human body.
7. moving target acquisition system as claimed in claim 6, it is characterized in that, described inertial sensor is nine axle sensors, comprising:
Three-axis gyroscope, for gathering angular velocity information during skeleton motion;
3-axis acceleration sensor, for gathering rotary acceleration information during skeleton motion;
Three axle magnetic induction sensors, for gathering absolute force information during skeleton motion.
8. moving target acquisition system as claimed in claim 6, is characterized in that, described determination module, also for the described bone information obtained and the skeleton data be preset in skeleton data storehouse being compared, determines the action form of human body.
9. moving target acquisition system as claimed in claim 8, it is characterized in that, described terminal also comprises:
Identification module, for the action form in the action form of described human body and preset action form data base is made similarity mode, identifies human motion type.
10. moving target acquisition system as claimed in claim 9, it is characterized in that, described terminal also comprises:
Trigger module, for according to the described human motion type identified, triggers corresponding virtual reality scenario.
CN201510170181.7A 2015-04-10 2015-04-10 Moving object acquisition method and system Pending CN104856684A (en)

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CN105787468A (en) * 2016-03-24 2016-07-20 深圳市阿尔法通讯技术有限公司 Method and system for recognizing bead twisting action
CN106815556A (en) * 2016-12-20 2017-06-09 华中科技大学 A kind of plane crowd hazards data collecting system of many data types
CN107336233A (en) * 2017-06-02 2017-11-10 南京邮电大学 Based on the dynamic robot people's actual situation intersection control routine caught of inertia
CN108621164A (en) * 2018-05-10 2018-10-09 山东大学 Taiji push hands machine people based on depth camera
CN109200567A (en) * 2017-07-01 2019-01-15 珠海格力电器股份有限公司 A kind of exchange method and its device, electronic equipment of exercise data
CN109242887A (en) * 2018-07-27 2019-01-18 浙江工业大学 A kind of real-time body's upper limks movements method for catching based on multiple-camera and IMU
CN110263723A (en) * 2019-06-21 2019-09-20 王森 The gesture recognition method of the interior space, system, medium, equipment
CN110928420A (en) * 2019-12-30 2020-03-27 华中科技大学鄂州工业技术研究院 Human body motion posture capturing method and system
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