MATEC Web Conf.
Volume 198, 20182018 Asia Conference on Mechanical Engineering and Aerospace Engineering (MEAE 2018)
|Number of page(s)||7|
|Section||Electronic Engineering and Mechatronics|
|Published online||12 September 2018|
- O T. Moeslund, A. Hilton and V. Krüger, “A survey of advances in vision-based human motion capture and analysis,” Comput. Vis. Image Und., vol. 104, no. 2-3, pp. 90–126 (2006) [CrossRef] [Google Scholar]
- S. Won, F. Golnaraghi and W. Melek, “A Fastening Tool Tracking System Using an IMU and a Position Sensor With Kalman Filters and a Fuzzy Expert System,” IEEE Trans. Ind. Electron., vol. 56, no. 5, pp. 1782–1792 (2009) [CrossRef] [Google Scholar]
- D. Roetenberg, H. Luinge and P. Slycke, “Xsens MVN: full 6DOF human motion tracking using miniature inertial sensors,” Xsens Motion Technologies BV, Tech. Rep. (2009) [Google Scholar]
- S. Komada, Y. Hashimoto, N. Okuyama, T. Hisada and J. Hirai, “Development of a Biofeedback Therapeutic-Exercise-Supporting Manipulator,” IEEE Trans. Ind. Electron. vol. 56, no. 10, pp. 3914–3920 (2009) [CrossRef] [Google Scholar]
- R. Zhu and Z. Zhou, “A Real-Time Articulated Human Motion Tracking Using Tri-Axis Inertial/Magnetic Sensors Package,” IEEE Trans. Neur. Sys. Reh., vol. 12, no. 2, pp. 295–302 (2004) [CrossRef] [Google Scholar]
- Y. Nakamura, K. Yamane, Y. Fujita and I. Suzuki, "Somatosensory computation for man-machine interface from motion-capture data and musculoskeletal human model," IEEE Trans. Robot., vol. 21, no. 1, pp. 58–66 (2005) [CrossRef] [Google Scholar]
- A. Sabatini, “Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing,” Sensors, vol. 11, no. 12, pp. 1489–1525 (2011) [CrossRef] [Google Scholar]
- J. K. Lee and E. Park, “A Fast Quaternion-Based Orientation Optimizer via Virtual Rotation for Human Motion Tracking,” IEEE Trans. Biomed. Eng., vol. 56, no. 5, pp. 1574–1582 (2009) [CrossRef] [Google Scholar]
- A. Kim and M. Golnaraghi, “A quaternion-based orientation estimation algorithm using an inertial measurement unit,” in PLANS., pp. 268–272 (2004) [Google Scholar]
- SP. Tseng, WL. Li, CY. Sheng, JW. Hsu and CS. Chen. “Motion and attitude estimation using inertial measurements with complementary filter,” in ASCC., Kaohsiung, Taiwan, pp. 863–868 (2011) [Google Scholar]
- AM. Sabatini, “Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing,” IEEE Trans. Biomed. Eng., vol. 53, no. 7, pp. 1346–1356 (2006) [CrossRef] [Google Scholar]
- X. Yun and ER. Bachmann, “Design, implementation, and experimental results of a quaternion-based Kalman filter for human body motion tracking,” IEEE Trans. Robot., vol. 22, no. 6, pp. 1216–1227 (2006) [CrossRef] [Google Scholar]
- H. Harms, O. Amft, R. Winkler, J. Schumm, M. Kusserow and G. Tröster, “Ethos: Miniature orientation sensor for wearable human motion analysis.” Sensors, pp. 1037–1042 (2010) [Google Scholar]
- C. Brigante, N. Abbate, A. Basile, A. Faulisi and S. Sessa, “Towards Miniaturization of a MEMS-Based Wearable Motion Capture System,” IEEE Trans. Ind. Electron., vol. 58, no. 8, pp. 3234–3241 (2011) [CrossRef] [Google Scholar]
- N. Abbate, A. Basile, C. Brigante and A. Faulisi, “Development of a MEMS based wearable motion capture system,” in HSI, Catania, pp. 255–259 (2009) [Google Scholar]
- C. Cifuentes, A. Braidot, L. Rodríguez, M. Frisoli, A. Santiago and A. Frizera, “Development of a wearable ZigBee sensor system for upper limb rehabilitation robotics,” in BioRob, Rome, pp. 1989–1994 (2012) [Google Scholar]
- P. Kinney, “Zigbee technology: Wireless control that simply works,” Communications design conference. vol. 2, pp. 1–7 (2003) [Google Scholar]
- J. Lee, Y. Su and C. Shen, “A Comparative Study of Wireless Protocols: Bluetooth, UWB, ZigBee, and Wi-Fi,” in IECON, pp. 46–51 (2007) [Google Scholar]
- J. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Processing Letters, vol. 9, no. 3, pp. 293–300 (1999) [CrossRef] [Google Scholar]
- VN. Vapnik, and V. Vlamimir, Statistical learning theory, New York: Wiley, pp 123–129.0 (1998) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.