{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T13:01:41Z","timestamp":1765976501124,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2021,8,21]],"date-time":"2021-08-21T00:00:00Z","timestamp":1629504000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Andalusian PAIDI research group TIC-182","award":["Group TIC-182 funds"],"award-info":[{"award-number":["Group TIC-182 funds"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Gait analysis has many applications, and specifically can improve the control of prosthesis, exoskeletons, or Functional Electrical Stimulation systems. The use of canes is common to complement the assistance in these cases, and the synergy between upper and lower limbs can be exploited to obtain information about the gait. This is interesting especially in the case of unilateral assistance, for instance in the case of one side lower limb exoskeletons. If the cane is instrumented, it can hold sensors that otherwise should be attached to the body of the impaired user. This can ease the use of the assistive system in daily life as well as its acceptance. Moreover, Force Sensing Resistors (FSRs) are common in gait phase detection systems, and force sensors are also common in user intention detection. Therefore, a cane that incorporates FSRs on the handle can take advantage from the direct interface with the human and provide valuable information to implement real-time control. This is done in this paper, and the results confirm that many events are detected from variables derived from the readings of the FSRs that provide rich information about gait. However, a large inter-subject variability points to the need of tailored control systems.<\/jats:p>","DOI":"10.3390\/s21165632","type":"journal-article","created":{"date-parts":[[2021,8,22]],"date-time":"2021-08-22T22:59:27Z","timestamp":1629673167000},"page":"5632","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Generation of Gait Events with a FSR Based Cane Handle"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4798-1777","authenticated-orcid":false,"given":"Andr\u00e9s","family":"Trujillo-Le\u00f3n","sequence":"first","affiliation":[{"name":"Departamento de Electr\u00f3nica, Universidad de M\u00e1laga, 29071 M\u00e1laga, Spain"},{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga (IBIMA), 29071 M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arturo","family":"de Guzm\u00e1n-Manzano","sequence":"additional","affiliation":[{"name":"Departamento de Electr\u00f3nica, Universidad de M\u00e1laga, 29071 M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9966-9131","authenticated-orcid":false,"given":"Ramiro","family":"Vel\u00e1zquez","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Aguascalientes 29020, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5459-8306","authenticated-orcid":false,"given":"Fernando","family":"Vidal-Verd\u00fa","sequence":"additional","affiliation":[{"name":"Departamento de Electr\u00f3nica, Universidad de M\u00e1laga, 29071 M\u00e1laga, Spain"},{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de M\u00e1laga (IBIMA), 29071 M\u00e1laga, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,8,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Redkar, S. (2017). A Review on Wearable Inertial Tracking based Human Gait Analysis and Control Strategies of Lower-Limb Exoskeletons. Int. Robot. Autom. J., 3.","DOI":"10.15406\/iratj.2017.03.00080"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Manchola, M.D., Bernal, M.J., Munera, M., and Cifuentes, C.A. (2019). Gait phase detection for lower-limb exoskeletons using foot motion data from a single inertial measurement unit in hemiparetic individuals. Sensors, 19.","DOI":"10.3390\/s19132988"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Prasanth, H., Caban, M., Keller, U., Courtine, G., Ijspeert, A., Vallery, H., and von Zitzewitz, J. (2021). Wearable sensor-based real-time gait detection: A systematic review. Sensors, 21.","DOI":"10.3390\/s21082727"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Gill, S., Seth, N., and Scheme, E. (2018). A multi-sensor matched filter approach to robust segmentation of assisted gait. Sensors, 18.","DOI":"10.3390\/s18092970"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1016\/j.medengphy.2010.03.007","article-title":"Methods for gait event detection and analysis in ambulatory systems","volume":"32","author":"Rueterbories","year":"2010","journal-title":"Med. Eng. Phys."},{"key":"ref_6","first-page":"5904","article-title":"Design and implementation of an instrumented cane for gait recognition","volume":"2015","author":"Wade","year":"2015","journal-title":"IEEE Int. Conf. Robot. Autom."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1109\/TMECH.2012.2223227","article-title":"An instrumented walking aid to assess and retrain gait","volume":"19","author":"Culmer","year":"2014","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Sprint, G., Cook, D.J., and Weeks, D.L. (2016, January 19\u201322). Quantitative assessment of lower limb and cane movement with wearable inertial sensors. Proceedings of the 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Chicago, IL, USA.","DOI":"10.1109\/BHI.2016.7455923"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Ballesteros, J., Tudela, A., Caro-Romero, J.R., and Urdiales, C. (2019). Weight-bearing estimation for cane users by using onboard sensors. Sensors, 19.","DOI":"10.3390\/s19030509"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Gill, S., Seth, N., and Scheme, E. (2020). A multi-sensor cane can detect changes in gait caused by simulated gait abnormalities and walking terrains. Sensors, 20.","DOI":"10.3390\/s20030631"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1109\/JBHI.2018.2873991","article-title":"Feasibility of Automated Mobility Assessment of Older Adults via an Instrumented Cane","volume":"23","author":"Wade","year":"2019","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Taborri, J., Palermo, E., Rossi, S., and Cappa, P. (2016). Gait partitioning methods: A systematic review. Sensors, 16.","DOI":"10.3390\/s16010066"},{"key":"ref_13","first-page":"310","article-title":"A Neural Network for Stance Phase Detection in Smart Cane Users","volume":"Volume 11506","author":"Ballesteros","year":"2019","journal-title":"Proceedings of the International Work-Conference on Artificial Neural Networks"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Fernandez, I.G., Ahmad, S.A., and Wada, C. (2020). Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation. Sensors, 20.","DOI":"10.3390\/s20174675"},{"key":"ref_15","unstructured":"Gambon, T.M., Schmiedeler, J.P., and Wensing, P.M. (December, January 29). User Intent Identification in a Lower-Extremity Exoskeleton via the Mahalanobis Distance. Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, New York, NY, USA."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fnbot.2019.00057","article-title":"Stance and swing detection based on the angular velocity of lower limb segments during walking","volume":"13","author":"Grimmer","year":"2019","journal-title":"Front. Neurorobotics"},{"key":"ref_17","unstructured":"Suryadevara, N.K., and Mukhopadhyay, S.C. (2020). 11\u2014Assistive devices for elderly mobility and rehabilitation: Review and reflection. Assistive Technology for the Elderly, Academic Press."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1109\/OJEMB.2020.2984429","article-title":"Walking Faster and Farther With a Soft Robotic Exosuit: Implications for Post-Stroke Gait Assistance and Rehabilitation","volume":"1","author":"Awad","year":"2020","journal-title":"IEEE Open J. Eng. Med. Biol."},{"key":"ref_19","unstructured":"Bulea, T.C., Chen, J., and Damiano, D.L. (December, January 29). Exoskeleton Assistance Improves Crouch during Overground Walking with Forearm Crutches: A Case Study. Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, New York, NY, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1186\/s40648-020-00169-y","article-title":"Gait modification for improving walking stability of exoskeleton assisted paraplegic patient","volume":"7","author":"Li","year":"2020","journal-title":"ROBOMECH J."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.3390\/s140101705","article-title":"Wearable gait measurement system with an instrumented cane for exoskeleton control","volume":"14","author":"Hassan","year":"2014","journal-title":"Sensors"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Huang, R., Pengl, Z., Cheng, H., Hu, J., Qiu, J., Zou, C., and Chen, Q. (2018, January 1\u20135). Learning-based Walking Assistance Control Strategy for a Lower Limb Exoskeleton with Hemiplegia Patients. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, Madrid, Spain.","DOI":"10.1109\/IROS.2018.8594464"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1109\/TNSRE.2018.2832657","article-title":"Feasibility of synergy-based exoskeleton robot control in hemiplegia","volume":"26","author":"Hassan","year":"2018","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Jang, E., Cho, Y., Chi, S., Lee, J., Kang, S.S., and Chun, B. (2010, January 27\u201330). Recognition of walking intention using multiple bio\/kinesthetic sensors for lower limb exoskeletons. Proceedings of the ICCAS 2010, Gyeonggido, Korea.","DOI":"10.1109\/ICCAS.2010.5669799"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Trujillo-Le\u00f3n, A., Ady, R., Vidal-Verd\u00fa, F., and Bachta, W. (2015, January 25\u201329). A tactile handle for cane use monitoring. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy.","DOI":"10.1109\/EMBC.2015.7319168"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/TNSRE.2002.1021583","article-title":"Evaluation of force-sensing resistors for gait event detection to trigger electrical stimulation to improve walking in the child with cerebral palsy","volume":"10","author":"Smith","year":"2002","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"De Guzm\u00e1n-Manzano, A., Trujillo-Le\u00f3n, A., Lora-Rivera, R., and Vidal-Verd\u00fa, F. (2019, January 27\u201330). Tactile Sensor on Cane Handle for Gait Phase Analysis. Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada.","DOI":"10.1109\/SENSORS43011.2019.8956868"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1109\/TBME.2006.889769","article-title":"Ambulatory assessment of ankle and foot dynamics","volume":"54","author":"Schepers","year":"2007","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Vu, H.T.T., Dong, D., Cao, H.L., Verstraten, T., Lefeber, D., Vanderborght, B., and Geeroms, J. (2020). A review of gait phase detection algorithms for lower limb prostheses. Sensors, 20.","DOI":"10.3390\/s20143972"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Behboodi, A., Zahradka, N., Wright, H., Alesi, J., and Lee, S.C. (2019). Real-time detection of seven phases of gait in children with cerebral palsy using two gyroscopes. Sensors, 19.","DOI":"10.3390\/s19112517"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"57","DOI":"10.3389\/fnbot.2017.00057","article-title":"The Myosuit: Bi-articular Anti-gravity Exosuit That Reduces Hip Extensor Activity in Sitting Transfers","volume":"11","author":"Schmidt","year":"2017","journal-title":"Front. Neurorobotics"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/BF00431022","article-title":"Electromechanical delay in human skeletal muscle under concentric and eccentric contractions","volume":"42","author":"Cavanagh","year":"1979","journal-title":"Eur. J. Appl. Physiol. Occup. Physiol."},{"key":"ref_33","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_34","doi-asserted-by":"crossref","unstructured":"Zahradka, N., Behboodi, A., Wright, H., Bodt, B., and Lee, S. (2019). Evaluation of Gait Phase Detection Delay Compensation Strategies to Control a Gyroscope-Controlled Functional Electrical Stimulation System During Walking. Sensors, 19.","DOI":"10.3390\/s19112471"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.medengphy.2009.10.014","article-title":"Inertial Gait Phase Detection for control of a drop foot stimulator: Inertial sensing for gait phase detection","volume":"32","author":"Kotiadis","year":"2010","journal-title":"Med. Eng. Phys."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Glowinski, S., Krzyzynski, T., Bryndal, A., and Maciejewski, I. (2020). A Kinematic Model of a Humanoid Lower Limb Exoskeleton with Hydraulic Actuators. Sensors, 20.","DOI":"10.3390\/s20216116"},{"key":"ref_37","unstructured":"M\u00fcller, P., Seel, T., and Schauer, T. (2015, January 12\u201313). Experimental Evaluation of a Novel Inertial Sensor Based Realtime Gait Phase Detection Algorithm. Proceedings of the Technically Assisted Rehabilitation Conference, Berlin, Germany."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/16\/5632\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:48:33Z","timestamp":1760165313000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/16\/5632"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,21]]},"references-count":37,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["s21165632"],"URL":"https:\/\/doi.org\/10.3390\/s21165632","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2021,8,21]]}}}