Chakravarthi et al., 2022 - Google Patents
Real-time human motion tracking and reconstruction using IMU sensorsChakravarthi et al., 2022
View PDF- Document ID
- 13062597497727923946
- Author
- Chakravarthi B
- Prasad B
- Chethana B
- Kumar B
- Publication year
- Publication venue
- 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)
External Links
Snippet
Human body-strap-based, and sensor-mounted clothing-based easy-to-wear motion capture systems have generated a lot of interest and been thoroughly investigated in recentm times. Body movements are typically assessed using miniature inertial measurement unit (IMU) …
- 238000000034 method 0 abstract description 8
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
- G06T13/20—3D [Three Dimensional] animation
- G06T13/40—3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
- A61B5/1122—Determining geometric values, e.g. centre of rotation or angular range of movement of movement trajectories
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Colyer et al. | A review of the evolution of vision-based motion analysis and the integration of advanced computer vision methods towards developing a markerless system | |
CN101579238B (en) | Human motion capture three dimensional playback system and method thereof | |
Wilson et al. | VR locomotion: walking> walking in place> arm swinging | |
JP5016687B2 (en) | A method to interactively visualize muscle strength and joint moments in the human body in real time | |
US20180070864A1 (en) | Methods and devices for assessing a captured motion | |
CN201431466Y (en) | Human motion capture and thee-dimensional representation system | |
Chakravarthi et al. | Real-time human motion tracking and reconstruction using IMU sensors | |
Chen et al. | Real‐time human motion capture driven by a wireless sensor network | |
CN115964933A (en) | Construction method of virtual and real training device based on digital twins | |
Tao et al. | Human modeling and real-time motion reconstruction for micro-sensor motion capture | |
CN107283386A (en) | Man-machine synchronous method | |
CN100594520C (en) | Aerial movement simulating method based on key frame time optimization | |
Qianwen | Application of motion capture technology based on wearable motion sensor devices in dance body motion recognition | |
Lin et al. | Using hybrid sensoring method for motion capture in volleyball techniques training | |
Ji et al. | Motion trajectory of human arms based on the dual quaternion with motion tracker | |
Cha et al. | Mobile. Egocentric human body motion reconstruction using only eyeglasses-mounted cameras and a few body-worn inertial sensors | |
Chakravarthi et al. | Scenario-based sensed human motion editing and validation through the motion-sphere | |
Chen et al. | Adaptive reconstruction of human motion on wireless body sensor networks | |
Gail et al. | Towards bridging the gap between motion capturing and biomechanical optimal control simulations | |
Kirmizibayrak et al. | Digital analysis and visualization of swimming motion | |
Reyes | Human motion: analysis of similarity and dissimilarity using orthogonal changes of direction on given trajectories | |
Kang et al. | Human kinematics modeling and simulation based on OpenSim | |
CN117503120B (en) | Human body posture estimation method and system | |
Balasubramanyam et al. | Kinematically admissible editing of the measured sensor motion data for virtual reconstruction of plausible human movements | |
Pantazis | Tracking human walking using marg sensors |