{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T22:57:29Z","timestamp":1768690649116,"version":"3.49.0"},"reference-count":41,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2014,2,11]],"date-time":"2014-02-11T00:00:00Z","timestamp":1392076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents a gait phase detection algorithm for providing feedback in walking with a robotic prosthesis. The algorithm utilizes the output signals of a wearable wireless sensory system incorporating sensorized shoe insoles and inertial measurement units attached to body segments. The principle of detecting transitions between gait phases is based on heuristic threshold rules, dividing a steady-state walking stride into four phases. For the evaluation of the algorithm, experiments with three amputees, walking with the robotic prosthesis and wearable sensors, were performed. Results show a high rate of successful detection for all four phases (the average success rate across all subjects &gt;90%). A comparison of the proposed method to an off-line trained algorithm using hidden Markov models reveals a similar performance achieved without the need for learning dataset acquisition and previous model training.<\/jats:p>","DOI":"10.3390\/s140202776","type":"journal-article","created":{"date-parts":[[2014,2,11]],"date-time":"2014-02-11T11:10:42Z","timestamp":1392117042000},"page":"2776-2794","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":111,"title":["Online Phase Detection Using Wearable Sensors for Walking with a Robotic Prosthesis"],"prefix":"10.3390","volume":"14","author":[{"given":"Maja","family":"Gor\u0161i\u010d","sequence":"first","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Tr\u017ea\u0161ka 25, Ljubljana 1000, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roman","family":"Kamnik","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Tr\u017ea\u0161ka 25, Ljubljana 1000, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luka","family":"Ambro\u017ei\u010d","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Tr\u017ea\u0161ka 25, Ljubljana 1000, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola","family":"Vitiello","sequence":"additional","affiliation":[{"name":"The BioRobotics Institute, Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 34, Pontedera 56025, Pisa, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Lefeber","sequence":"additional","affiliation":[{"name":"Vrije Universiteit Brussel, Faculty of Applied Sciences, Pleinlaan 2, Brussels B-1050, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guido","family":"Pasquini","sequence":"additional","affiliation":[{"name":"Fondazione don Carlo Gnocchi, Florence 50018, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marko","family":"Munih","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Ljubljana, Tr\u017ea\u0161ka 25, Ljubljana 1000, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1080\/03093640600988633","article-title":"Measuring quality of life in prosthetic practice: Benefits and challenges","volume":"31","author":"Gallagher","year":"2007","journal-title":"Prosthet. 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(2007, January 12\u201315). Design and Control of an Electrically Powered Knee Prosthesis. Noordwijk, The Netherlands.","DOI":"10.1109\/ICORR.2007.4428531"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Martinez-Villalpando, E.C., Weber, J., Elliott, G., and Herr, H. (2008, January 19\u201322). Design of an agonist-antagonist active knee prosthesis. Scottsdale, AZ, USA.","DOI":"10.1109\/BIOROB.2008.4762919"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1682\/JRRD.2008.09.0131","article-title":"Agonist-antagonist active knee prosthesis: A preliminary study in level-ground walking","volume":"46","author":"Herr","year":"2009","journal-title":"J. Rehabil. Res. Dev."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Zhu, J., Wang, Q., and Wang, L. (2010, January 6\u20139). PANTOE 1: Biomechanical Design of Powered Ankle-Foot Prosthesis with Compliant Joints and Segmented Foot. Montreal, QC, Canada.","DOI":"10.1109\/AIM.2010.5695879"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1016\/j.neunet.2008.03.006","article-title":"Powered ankle-foot prosthesis to assist level-ground and stair-descent gaits","volume":"21","author":"Au","year":"2008","journal-title":"Neural Netw."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1109\/TRO.2008.2008747","article-title":"Powered ankle-foot prosthesis improves walking metabolic economy","volume":"25","author":"Au","year":"2009","journal-title":"IEEE Trans. Robot."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Pillai, M.V., Kazerooni, H., and Hurwich, A. (2011, January 9-13). Design of a Semi-Active Knee-Ankle Prosthesis. Shanghai, China.","DOI":"10.1109\/ICRA.2011.5980178"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1177\/0278364907084588","article-title":"Design and control of a powered transfemoral prosthesis","volume":"27","author":"Sup","year":"2008","journal-title":"Int. J. Robot. Res."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1109\/TMECH.2009.2032688","article-title":"Preliminary evaluations of a self-contained anthropomorphic transfemoral prosthesis","volume":"14","author":"Sup","year":"2009","journal-title":"IEEE\/ASME Trans. Mech."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Joshi, D., Singh, R., Ribeiro, R., Srivastava, S., Singh, U., and Anand, S. (2010, January 16\u201318). Development of Echo Control Strategy for AK Prosthesis: An Embedded System Approach. Kharagpur, India.","DOI":"10.1109\/ICSMB.2010.5735361"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.gaitpost.2009.11.014","article-title":"Real-time gait event detection for normal subjects from lower trunk accelerations","volume":"31","author":"Alvarez","year":"2010","journal-title":"Gait Posture"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Djuric, M. (2008, January 25\u201327). Automatic Recognition of Gait Phases from Accelerations of Leg Segments. Belgrade, Serbia.","DOI":"10.1109\/NEUREL.2008.4685586"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.gaitpost.2009.07.128","article-title":"Real-time gait event detection using wearable sensors","volume":"30","author":"Hanlon","year":"2009","journal-title":"Gait Posture"},{"key":"ref_19","unstructured":"He, Q., and Debrunner, C. (2000, January 7\u20138). Individual Recognition from Periodic Activity Using Hidden Markov Models. Austin, TX, USA."},{"key":"ref_20","first-page":"139","article-title":"Human Gait Classification Based on Hidden Markov Models","volume":"Volume 97","author":"Meyer","year":"1997","journal-title":"3D Image Analysis and Synthesis"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"De Rossi, S., Crea, S., Donati, M., Reber\u0161ek, P., Novak, D., Vitiello, N., Lenzi, T., Podobnik, J., Munih, M., and Carrozza, M. (2012, January 24\u201327). Gait Segmentation Using Bipedal Foot Pressure Patterns. Rome, Italy.","DOI":"10.1109\/BioRob.2012.6290278"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1109\/86.867873","article-title":"Gait event detection for FES using accelerometers and supervised machine learning","volume":"8","author":"Williamson","year":"2000","journal-title":"IEEE Trans. Rehabil. Eng."},{"key":"ref_23","unstructured":"Crea, S., de Rossi, S., Donati, M., Reber\u0161ek, P., Novak, D., Vitiello, N., Lenzi, T., Podobnik, J., Munih, M., and Carrozza, M. (September, January 28). Development of Gait Segmentation Methods for Wearable Foot Pressure Sensors. San Diego, CA, USA."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5683","DOI":"10.3390\/s100605683","article-title":"Gait event detection on level ground and incline walking using a rate gyroscope","volume":"10","author":"Catalfamo","year":"2010","journal-title":"Sensors"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1109\/TITB.2007.899493","article-title":"Gait analysis using a shoe-integrated wireless sensor system","volume":"12","author":"Bamberg","year":"2008","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/7333.928571","article-title":"A reliable gait phase detection system","volume":"9","author":"Pappas","year":"2001","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_27","unstructured":"Pappas, I., Keller, T., and Mangold, S. (2002, January 12\u201314). A Reliable, Gyroscope Based Gait Phase Detection Sensor Embedded in a Shoe Insole. Orlando, FL, USA."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1109\/JSEN.2004.823671","article-title":"A reliable gyroscope-based gait-phase detection sensor embedded in a shoe insole","volume":"4","author":"Pappas","year":"2004","journal-title":"IEEE Sens. J."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Winter, D.A. (2009). Biomechanics and Motor Control of Human Movement, Wiley.","DOI":"10.1002\/9780470549148"},{"key":"ref_30","unstructured":"Whittle, M.W. (2003). Gait Analysis: An Introduction, Butterworth-Heinemann."},{"key":"ref_31","unstructured":"De Rossi, S., Lenzi, T., Vitiello, N., Donati, M., Persichetti, A., Giovacchini, F., Vecchi, F., and Carrozza, M. (September, January 30). Development of an In-Shoe Pressure-Sensitive Device for Gait Analysis. Boston, MA, USA."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.3390\/s130101021","article-title":"A flexible sensor technology for the distributed measurement of interaction pressure","volume":"13","author":"Donati","year":"2013","journal-title":"Sensors"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.3390\/s140101073","article-title":"A wireless flexible sensorized insole for gait analysis","volume":"14","author":"Crea","year":"2014","journal-title":"Sensors"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Beravs, T., Rebersek, P., Novak, D., Podobnik, J., and Munih, M. (2011, January 26\u201328). Development and Validation of a Wearable Inertial Measurement System for Use with Lower Limb Exoskeletons. Bled, Slovenia.","DOI":"10.1109\/Humanoids.2011.6100914"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2501","DOI":"10.1109\/TIM.2012.2187360","article-title":"Three-axial accelerometer calibration using Kalman filter covariance matrix for online estimation of optimal sensor orientation","volume":"61","author":"Beravs","year":"2012","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_36","unstructured":"Julier, S.J., and Uhlmann, J.K. (August, January 30). New Extension of the Kalman Filter to Nonlinear Systems. San Diego, CA, USA."},{"key":"ref_37","unstructured":"Wan, E.A., and van der Merwe, R. (2000, January 1\u20134). The Unscented Kalman Filter for Nonlinear Estimation. Lake Louise, AB, Canada."},{"key":"ref_38","unstructured":"Murphy, K. Hidden Markov Model (HMM) Toolbox for Matlab 1998. Available online: http:\/\/www.cs.ubc.ca\/murphyk\/Software\/HMM\/hmm.html."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1056\/NEJM199504273321702","article-title":"Neuropathological evidence of graft survival and striatal reinnervation after the transplantation of fetal mesencephalic tissue in a patient with Parkinson's disease","volume":"332","author":"Kordower","year":"1995","journal-title":"N. Engl. J. Med."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Geeroms, J., Flynn, L., Jimenez-Fabian, R., Vanderborght, B., and Lefeber, D. (2013, January 24\u201326). Ankle-Knee Prosthesis with Powered Ankle and Energy Transfer for CYBERLEGs \u03b1-Prototype. Seattle, WA, USA.","DOI":"10.1109\/ICORR.2013.6650352"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1016\/j.medengphy.2013.07.003","article-title":"Automated detection of gait initiation and termination using wearable sensors","volume":"35","author":"Novak","year":"2013","journal-title":"Med. Eng. Phys."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/2\/2776\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:08:05Z","timestamp":1760216885000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/14\/2\/2776"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,2,11]]},"references-count":41,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2014,2]]}},"alternative-id":["s140202776"],"URL":"https:\/\/doi.org\/10.3390\/s140202776","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,2,11]]}}}