Real-time gait detection based on Hidden Markov Model: Is it possible to avoid training procedure?

2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings

Volumn , Issue , 2015, Pages 141-145

  Taborri, Juri ^a   Scalona, Emilia ^a   Rossi, Stefano ^b   Palermo, Eduardo ^a,d   Patane, Fabrizio ^c   Cappa, Paolo ^a,e  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF TUSCIA   (Italy)

^c NICCOLÒ CUSANO UNIVERSITY   (Italy)

^d POLYTECHNIC UNIVERSITY   (United States)

^e BAMBINO GESÙ CHILDREN S HOSPITAL   (Italy)

Author keywords

active orthoses; Hidden Markov Model; IMUs system; real time gait detection; training procedure

Indexed keywords

ANGULAR VELOCITY; GYROSCOPES; HIDDEN MARKOV MODELS; ORTHOTICS; PARAMETER ESTIMATION; SIGNAL DETECTION;

ACTIVE ORTHOSE; BAUM-WELCH ALGORITHMS; EXPERIMENTAL PROTOCOLS; GAIT DETECTION; IMUS SYSTEM; INERTIAL MEASUREMENT UNIT; RECEIVER OPERATING CHARACTERISTICS; TRAINING PROCEDURES;

PATTERN RECOGNITION;

EID: 84939522709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MeMeA.2015.7145188     Document Type: Conference Paper

References (19)

1. N. Paneth, T. Hong, and S. Korzeniewski, "The descriptive epidemiology of cerebral palsy.," Clin. Perinatol., vol. 33, no. 2, pp. 251-67, Jun. 2006.
2. H. I. Krebs, S. Rossi, S.-J. Kim, P. K. Artemiadis, D. Williams, E. Castelli, and P. Cappa, "Pediatric anklebot.," in IEEE International Conference on Rehabilitation Robotics, June 29-July 1, ETH Zurich Science City, SWITZERLAND, 2011, p. 3.
3. J. C. Maas, A. J. Dallmeijer, P. a Huijing, J. E. Brunstrom-Hernandez, P. J. van Kampen, R. T. Jaspers, and J. G. Becher, "Splint: the efficacy of orthotic management in rest to prevent equinus in children with cerebral palsy, a randomised controlled trial.," BMC Pediatr., vol. 12, no. 38, pp. 1-13, Jan. 2012.
4. M. Wingstrand, G. Hägglund, and E. Rodby-Bousquet, "Ankle-foot orthoses in children with cerebral palsy: a cross sectional population based study of 2200 children.," BMC Musculoskelet. Disord., vol. 15, no. 327, pp. 1-7, Jan. 2014.
5. S. Tanida, T. Kikuchi, K. Otsuki, T. Ozawa, T. Fujikawa, T. Yasuda, J. Furusho, A. Shoji, and Y. Hashimoto, "Intelligently controllable Ankle Foot Orthosis (I-AFO) and its application for a patient of Guillain-Barre syndrome," in IEEE 11th Internation Conference on Rehabilitation Robotics, 23-26 June, Kyoto international Conference Center, JAPAN, 2009, pp. 857-862.
6. A. K. Shorter, G. F. Kogler, E. Loth, W. K. Durfee, and E. T. Hsiao-Wecksler, "A portable powered ankle-foot orthosis for rehabilitation," J. Rehabil. Res. Dev., vol. 48, no. 4, pp. 459-72, 2011.
7. E. D. Lemaire, L. Goudreau, T. Yakimovich, and J. Kofman, "Angular-velocity control approach for stance-control orthoses," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 17, no. 5, pp. 497-503, 2009.
8. M. Gorši, R. Kamnik, L. Ambroži, N. Vitiello, D. Lefeber, G. Pasquini, and M. Munih, "Online phase detection using wearable sensors for walking with a robotic prosthesis.," Sensors, vol. 14, no. 2, pp. 2776-94, Jan. 2014.
9. J. Taborri, S. Rossi, E. Palermo, F. Patanè, and P. Cappa, "A novel HMM distributed classifier for the detection of gait phases by means of a wearable inertial sensor network.," Sensors (Basel)., vol. 14, no. 9, pp. 16212-34, Jan. 2014.
10. A. Mannini and A. M. Sabatini, "Gait phase detection and discrimination between walking-jogging activities using hidden Markov models applied to foot motion data from a gyroscope," Gait Posture, vol. 36, no. 4, pp. 657-661, Sep. 2012.
11. N. Abaid, P. Cappa, E. Palermo, M. Petrarca, and M. Porfiri, "Gait detection in children with and without hemiplegia using single-axis wearable gyroscopes.," PLoS One, vol. 8, no. 9, p. e73152, Jan. 2013.
12. S. L. Nogueira, A. a G. Siqueira, R. S. Inoue, and M. H. Terra, "Markov jump linear systems-based position estimation for lower limb exoskeletons.," Sensors, vol. 14, no. 1, pp. 1835-49, Jan. 2014.
13. A. Mannini and A. M. Sabatini, "Machine learning methods for classifying human physical activity from on-body accelerometers," Sensors, vol. 10, no. 2, pp. 1154-1175, Jan. 2010.
14. L. Rabineer, "A tutorial on Hidden Markov Models and selected applications in speech recognition," Proc. IEEE, vol. 77, pp. 257-286, 1989.
15. S. Rossi, F. Patanè, F. Del Sette, and P. Cappa, "WAKE-up : a Wearable Ankle Knee Exoskeleton," in 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014, pp. 504-507.
16. A. Pacilli, M. Germanotta, S. Rossi, and P. Cappa, "Quantification of age-related differences in reaching and circle-drawing using a robotic rehabilitation device," Appl. Bionics Biomech., vol. 11, pp. 91-104, 2014.
17. C. E. Metz, "Basic principles of ROC analysis," Semin. Nucl. Med., vol. 8, no. 4, pp. 283-298, Oct. 1978.
18. N. J. Perkins and E. F. Schisterman, "NIH Public Access," Am J Epidemiol., vol. 163, no. 7, pp. 670-675, 2006.
19. J. M. Hausdorff, L. Zemany, C. Peng, A. L. Goldberger, C. C. Quatman-yates, C. E. Quatman, A. J. Meszaros, M. V Paterno, B. J. S. Med, Z. Lenard, P. Studinger, B. Mersich, L. Kocsis, and M. Kollai, "Maturation of gait dynamics : stride-to-stride variability and its temporal organization in children Maturation of gait dynamics : stride-to-stride variability and its temporal organization in children," Appl. Physiol., vol. 86, pp. 1040-1047, 1999.