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Study protocol for collecting synchronized multimodal EMG, forearm kinematics and finger joint-angles data in healthy adults and transradial amputees. [PDF]

MethodsX
Abdelall YN, Awad MI, Ebied A, ElHady NE.   +3 more
europepmc   +1 more source

Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at low Re P. [PDF]

Eur Phys J E Soft Matter
Noichl I, Schönecker C.
europepmc   +1 more source

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Inertial-based Motion Capturing and Smart Training System

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Smart coaching platforms are emerging which combine Body-Sensor-Networks with AI-based training software to monitor and analyze body motions of athletes, workers, or medical patients. This allows for new opportunities to explore algorithms to interpret body sensor data and provide analytical feedback for learning a physical task, refining body motions,
Jens Windau, Laurent Itti
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The Research of Motion Capture Technology Based on Inertial Measurement

2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, 2013
The motion capture technologies have been widely used in the following areas: human movement science, human-computer interaction and control, medical analysis, film, game production, and etc. This paper presented a motion capture system based on inertial sensors. The system is mainly composed of the inertial sensor unit and real-time monitoring unit on
Bo Feng, Xianggang Zhang, Huilong Zhao
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Markerless motion capture using appearance and inertial data

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Current monitoring techniques for biomechanical analysis typically capture a snapshot of the state of the subject due to challenges associated with long-term monitoring. Continuous long-term capture of biomechanics can be used to assess performance in the workplace and rehabilitation at home.
Charence Wong, Zhiqiang Zhang 0001, Benny Lo, Guang-Zhong Yang   +3 more
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Hand/Arm Robot Teleoperation by Inertial Motion Capture

2013 Second International Conference on Robot, Vision and Signal Processing, 2013
The multi-fingered robot hand has much attention in various fields. Many robot hands have been proposed so far and we have developed a hand/arm robot with universal robot hand II. A teleoperation system allows intuitive manipulation of the hand/arm robot.
Futoshi Kobayashi, Keiichi Kitabayashi, Hiroyuki Nakamoto, Fumio Kojima   +3 more
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Machine Learning for Placement-Insensitive Inertial Motion Capture

2018 IEEE International Conference on Robotics and Automation (ICRA), 2018
Although existing inertial motion-capture systems work reasonably well (≤10° error in Euler angles), their accuracy suffers when sensor positions change relative to the associated body segments (±60° mean error and 120° standard deviation). We attribute this performance degradation to undermined calibration values, sensor movement latency and ...
Xuesu Xiao, Shuayb Zarar
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The system of motion capture based on inertial sensor

Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019
This article describes a complete motion capture solution. The problems of quaternion, rotation of quaternion and coordinate matching are described in detail. This system solves the shackles of wired transmission in the past by wireless transmission, which greatly simplifies the use of the system.
Gaojie Dong, Jun Li
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