Use of a 3DOF accelerometer for foot tracking and gesture recognition in mobile HCI

Procedia Computer Science

Volumn 19, Issue , 2013, Pages 453-460

  Ben Brahem, Mahmoud ^a   Ménélas, Bob Antoine J ^a   Otis, Martin J D ^a  

^a UNIVERSITÉ DU QUÉBEC À CHICOUTIMI   (Canada)

Author keywords

Feet motion recognition; Feet tracking; Mobile application

Indexed keywords

EID: 84893570333     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.06.061     Document Type: Conference Paper

References (18)

1. A. Jarillo-Silva, O. A. Dominguez-Ramirez, V. Parra-Vega et al., "PHANToM OMNI haptic device: Kinematic and manipulability." pp. 193-198.
2. E. Karadogan, and R. L. Williams"Haptic modules for training in palpatory diagnosis." pp. 223-230.
3. M. J. D. Otis, S. Comtois, D. Laurendeau et al., "Human safety algorithms for a parallel cable-driven haptic interface, " in Advances in Intelligent and Soft Computing, Montreal, 2010, pp. 187-200.
4. X. Ge, D. Lai, X. Wu et al., "A novel non-model-based 6-DOF electromagnetic tracking method using non-iterative algorithm." pp. 5114-5117.
5. Z. Duo, and W. Zhang, "Constructing 3D position tracking system with Twin-Wiimote structure." pp. 466-469.
6. C. Smith, and H. I. Christensen, "Wiimote robot control using human motion models, " in Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems, St. Louis, MO, USA 2009, pp. 5509-5515.
7. J. Alexander, T. Han, W. Judd et al., "Putting your best foot forward: Investigating real-world mappings for foot-based gestures." pp. 1229-1238.
8. I. Choi, and C. Ricci, "Foot-mounted gesture detection and its application in virtual environments." pp. 4248-4253.
9. T. Han, J. Alexander, A. Karnik et al., "Kick: Investigating the use of kick gestures for mobile interactions." pp. 29-32.
10. T. Yamamoto, T. Terada, and M. Tsukamoto, "Designing gestures for hands and feet in daily life." pp. 285-288.
11. A. Lawrence, Modern Inertial Technology: Navigation, Guidance, and Control: Springer, 1998.
12. S. Gradl, P. Kugler, C. Lohmuller et al., "Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices." pp. 2452-2455.
13. S. J.Morris, "A shoe integrated sensor system for wireless gait analysis and real-time therapeutic feedback, " Harvard-MIT division of health sciences and technology in partial fulfilment Massachusetts Institute of Technology Harvard, 2004.
14. B. Mariani, H. Rouhani, X. Crevoisier et al, "Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors, " Gait and Posture, vol. Article in Press, 2012.
15. A. Peruzzi, U. Delia Croce, and A. Cereatti, "Estimation of stride length in level walking using an inertial measurement unit attached to the foot: A validation of the zero velocity assumption during stance, " Journal of Biomechanics, vol. 44, no. 10, pp. 1991-1994, 2012.
16. S. M. M. De Rossi, S. Crea, M. Donati et al, "Gait segmentation using bipedal foot pressure patterns." pp. 361-366.
17. M. Xu, L. Zuo, S. Iyengar et al, "A semi-supervised Hidden Markov model-based activity monitoring system." pp. 1794-1797.
18. I. C. Gyllensten, and A. G. Bonomi, "Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life, " IEEE Transactions on Biomedical Engineering, vol. 58, no. 9, pp. 2656-2663, 2011.