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Scientific Programming
Volume 2017, Article ID 7594763, 11 pages
https://doi.org/10.1155/2017/7594763
Research Article

Development of a Wearable Device for Motion Capturing Based on Magnetic and Inertial Measurement Units

State Key Lab of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing 100083, China

Correspondence should be addressed to Bin Fang; moc.361@0211nibgnaf

Received 22 July 2016; Revised 26 September 2016; Accepted 17 October 2016; Published 18 January 2017

Academic Editor: Michele Risi

Copyright © 2017 Bin Fang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Kambiz Ghazinour, Jong-Hoon Kim, and Xiang Lian, “A Secure and Smart Framework for Monitoring Infants' Safety,” 2017 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 1836–1837, . View at Publisher · View at Google Scholar
  • Ismail Ayaz, and Elumalai Monisha, “Instruvis: Play Music Virtually and Visualize the Data,” HCI International 2018 – Posters' Extended Abstracts, vol. 852, pp. 494–500, 2018. View at Publisher · View at Google Scholar
  • Bor-Shing Lin, I-Jung Lee, Pei-Ying Chiang, Shih-Yuan Huang, and Chih-Wei Peng, “A Modular Data Glove System for Finger and Hand Motion Capture Based on Inertial Sensors,” Journal of Medical and Biological Engineering, 2018. View at Publisher · View at Google Scholar
  • Bor-Shing Lin, I-Jung Lee, Shu-Yu Yang, Yi-Chiang Lo, Junghsi Lee, and Jean-Lon Chen, “Design of an Inertial-Sensor-Based Data Glove for Hand Function Evaluation,” Sensors, vol. 18, no. 5, pp. 1545, 2018. View at Publisher · View at Google Scholar
  • Fuchun Sun, Bin Fang, Mingxuan Jing, Xiang Wei, Yuanlong Yu, and Chunfang Liu, “Robotic skills learning based on dynamical movement primitives using a wearable device,” 2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017, vol. 2018-, pp. 1–6, 2018. View at Publisher · View at Google Scholar
  • Bin Fang, Shidong Jia, Di Guo, Muhua Xu, Shuhuan Wen, and Fuchun Sun, “Survey of imitation learning for robotic manipulation,” International Journal of Intelligent Robotics and Applications, 2019. View at Publisher · View at Google Scholar