scholarly journals Wearable Sensor Networks for Motion Capture

2015 ◽  
Author(s):  
Dennis Arsenault ◽  
Anthony Whitehead
Keyword(s):  
Sensor Networks ◽  
Motion Capture ◽  
Wearable Sensor

scholarly journals Energy-aware activity classification using wearable sensor networks

2013 ◽  
Author(s):  
Bo Dong ◽  
Alexander Montoye ◽  
Rebecca Moore ◽  
Karin Pfeiffer ◽  
Subir Biswas
Keyword(s):  
Sensor Networks ◽  
Wearable Sensor ◽  
Activity Classification ◽  
Energy Aware

Wearable Sensor Integration and Bio-motion Capture: A Practical Perspective

2014 ◽  
pp. 495-526 ◽  
Author(s):  
Zhiqiang Zhang ◽  
Athanasia Panousopoulou ◽  
Guang-Zhong Yang
Keyword(s):  
Motion Capture ◽  
Sensor Integration ◽  
Wearable Sensor

Wearable sensor networks: A measurement study

2020 ◽  
Author(s):  
Armir Bujari ◽  
Ombretta Gaggi ◽  
Claudio E. Palazzi ◽  
Giacomo Quadrio
Keyword(s):  
Sensor Networks ◽  
Wearable Sensor ◽  
Measurement Study

Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection

2015 ◽  
Vol 14 (4) ◽  
pp. 800-812 ◽  
Author(s):  
Hassan Ghasemzadeh ◽  
Navid Amini ◽  
Ramyar Saeedi ◽  
Majid Sarrafzadeh
Keyword(s):  
Feature Selection ◽  
Sensor Networks ◽  
Wearable Sensor ◽  
Optimal Feature Selection ◽  
Optimal Feature

Body-posture-based dynamic link power control in wearable sensor networks

2010 ◽  
Vol 48 (7) ◽  
pp. 134-142 ◽  
Author(s):  
Muhannad Quwaider ◽  
Jayanthi Rao ◽  
Subir Biswas
Keyword(s):  
Sensor Networks ◽  
Power Control ◽  
Body Posture ◽  
Wearable Sensor ◽  
Dynamic Link

scholarly journals Dance Motion Capture Based on Data Fusion Algorithm and Wearable Sensor Network

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yueru Li
Keyword(s):  
Data Fusion ◽  
Coordinate System ◽  
Motion Capture ◽  
Estimation Algorithm ◽  
Iteration Step ◽  
Whole Body ◽  
Great Likelihood ◽  
Wearable Sensor ◽  
Fusion Algorithm ◽  
Model Learning

In this paper, through an in-depth study and analysis of dance motion capture algorithms in wearable sensor networks, the extended Kalman filter algorithm and the quaternion method are selected after analysing a variety of commonly used data fusion algorithms and pose solving algorithms. In this paper, a sensor-body coordinate system calibration algorithm based on hand-eye calibration is proposed, which only requires three calibration poses to complete the calibration of the whole-body sensor-body coordinate system. In this paper, joint parameter estimation algorithm based on human joint constraints and limb length estimation algorithm based on closed joint chains are proposed, respectively. The algorithm is an iterative optimization algorithm that divides each iteration into an expectation step and a great likelihood step, and the best convergence value can be found efficiently according to each iteration step. The feature values of each pose action are fed into the algorithm for model learning, which enables the training of the model. The trained model is then tested by combining the collected gesture data with the algorithmic model to recognize and classify the gesture data, observe its recognition accuracy, and continuously optimize the model to achieve accurate recognition of human gesture actions.

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