A HMM distributed classifier to control robotic knee module of an active orthosis

IEEE International Conference on Rehabilitation Robotics

Volumn 2015-September, Issue , 2015, Pages 277-282

  Taborri, Juri ^a   Rossi, Stefano ^b   Palermo, Eduardo ^a   Cappa, Paolo ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF TUSCIA   (Italy)

Author keywords

body sensor network; Hierarchical decision; HMM; IMUs system; knee active orthoses

Indexed keywords

AGRICULTURAL ROBOTS; ANGULAR VELOCITY; BODY SENSOR NETWORKS; GYROSCOPES; KINEMATICS; PATTERN RECOGNITION; ROBOTICS; SIGNAL DETECTION;

ACTIVE ORTHOSE; EXPERIMENTAL PROCEDURE; HIDDEN MARKOV MODELS (HMMS); HIERARCHICAL DECISIONS; IMUS SYSTEM; LINEAR ACCELEROMETERS; NEUROLOGICAL DISEASE; SENSITIVITY AND SPECIFICITY;

HIDDEN MARKOV MODELS;

EID: 84946069618     PISSN: 19457898     EISSN: 19457901     Source Type: Conference Proceeding    
DOI: 10.1109/ICORR.2015.7281212     Document Type: Conference Paper

References (14)

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. J. a Blaya and H. Herr, "Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait., " IEEE Trans. Neural Syst. Rehabil. Eng., vol. 12, no. 1, pp. 24-31, 2004.
3. 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, vol. 2011, p. 3.
4. 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.
5. 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.
6. H. Sun and T. Yuao, "Curve aligning approach for gait authentication based on a wearable accelerometer., " Physiol. Meas., vol. 33, no. 6, pp. 1111-20, Jun. 2012.
7. 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.
8. J. Taborri, S. Rossi, E. Palermo, F. Patane, 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.
9. 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.
10. 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.
11. S. Rossi, F. Patane, F. Del Sette, and P. Cappa, "WAKE-up : A Wearable Ankle Knee Exoskeleton, " in 5th IEEE RAS & EMBS International Conference on Biomedical Robotics andBiomechatronics, 2014, pp. 504-507.
12. O. Banos, M. Damas, H. Pomares, F. Rojas, B. Delgado-Marquez, and O. Valenzuela, "Human activity recognition based on a sensor weighting hierarchical classifier, " Soft Comput., vol. 17, no. 2, pp. 333-343, Jul. 2013.
13. G. C. Cawley and N. L. C. Talbot, "Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers, " Pattern Recognit., vol. 36, no. 11, pp. 2585-2592, Nov. 2003.
14. M. S. H. Aung, S. B. Thies, L. P. J. Kenney, D. Howard, R. W. Selles, A. H. Findlow, and J. Y. Goulermas, "Automated detection of instantaneous gait events using time frequency analysis and manifold embedding., " IEEE Trans. NeuralSyst. Rehabil. Eng., vol. 21, no. 6, pp. 908-916, 2013.