{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T00:42:38Z","timestamp":1774658558994,"version":"3.50.1"},"reference-count":12,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The understanding and measurement of physical behaviours that occur in everyday life are essential not only for determining their relationship with health, but also for interventions, physical activity monitoring\/surveillance of the population and specific groups, drug development, and developing public health guidelines and messages [...]<\/jats:p>","DOI":"10.3390\/s23084091","type":"journal-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T03:20:39Z","timestamp":1681874439000},"page":"4091","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Sensors for Human Physical Behaviour Monitoring"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0722-2760","authenticated-orcid":false,"given":"Malcolm","family":"Granat","sequence":"first","affiliation":[{"name":"School of Health and Society, University of Salford, Salford M6 6PU, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4825-5697","authenticated-orcid":false,"given":"Andreas","family":"Holtermann","sequence":"additional","affiliation":[{"name":"National Research Centre for the Working Environment, Lers\u00f8 Parkall\u00e9 105, 2100 Copenhagen, Denmark"}]},{"given":"Kate","family":"Lyden","sequence":"additional","affiliation":[{"name":"VivoSense, 27 Dorian, Newport Coast, CA 92657, USA"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mellema, M., and Gjovaag, T. (2022). Reported Outcome Measures in Studies of Real-World Ambulation in People with a Lower Limb Amputation: A Scoping Review. Sensors, 22.","DOI":"10.3390\/s22062243"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ahmadi, M.N., Pavey, T.G., and Trost, S.G. (2020). Machine Learning Models for Classifying Physical Activity in Free-Living Preschool Children. Sensors, 20.","DOI":"10.3390\/s20164364"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Russell, B., McDaid, A., Toscano, W., and Hume, P. (2021). Predicting Fatigue in Long Duration Mountain Events with a Single Sensor and Deep Learning Model. Sensors, 21.","DOI":"10.20944\/preprints202108.0062.v1"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Griffiths, B., Diment, L., and Granat, M.H. (2021). A Machine Learning Classification Model for Monitoring the Daily Physical Behaviour of Lower-Limb Amputees. Sensors, 21.","DOI":"10.3390\/s21227458"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Hettiarachchi, P., Aili, K., Holtermann, A., Stamatakis, E., Svartengren, M., and Palm, P. (2021). Validity of a Non-Proprietary Algorithm for Identifying Lying Down Using Raw Data from Thigh-Worn Triaxial Accelerometers. Sensors, 21.","DOI":"10.3390\/s21030904"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Gbadamosi, A.R., Griffiths, B.N., Clarke-Cornwell, A.M., and Granat, M.H. (2022). Defining Continuous Walking Events in Free-Living Environments: Mind the Gap. Sensors, 22.","DOI":"10.3390\/s22051720"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Lopponen, A., Karavirta, L., Portegijs, E., Koivunen, K., Rantanen, T., Finni, T., Delecluse, C., Roie, E.V., and Rantalainen, T. (2021). Day-to-Day Variability and Year-to-Year Reproducibility of Accelerometer-Measured Free-Living Sit-to-Stand Transitions Volume and Intensity among Community-Dwelling Older Adults. Sensors, 21.","DOI":"10.3390\/s21186068"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Shah, V.V., Curtze, C., Sowalsky, K., Arpan, I., Mancini, M., Carlson-Kuhta, P., El-Gohary, M., Horak, F.B., and McNames, J. (2022). Inertial Sensor Algorithm to Estimate Walk Distance. Sensors, 22.","DOI":"10.3390\/s22031077"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Maylor, B.D., Edwardson, C.L., Dempsey, P.C., Patterson, M.R., Plekhanova, T., Yates, T., and Rowlands, A.V. (2022). Stepping towards More Intuitive Physical Activity Metrics with Wrist-Worn Accelerometry: Validity of an Open-Source Step-Count Algorithm. Sensors, 22.","DOI":"10.3390\/s22249984"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Griffiths, B., Silver, N., Granat, M.H., and Lebel, E. (2022). Measuring Foot Abduction Brace Wear Time Using a Single 3-Axis Accelerometer. Sensors, 22.","DOI":"10.3390\/s22072433"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Cheung, J.C., Tam, E.W., Mak, A.H., Chan, T.T., Lai, W.P., and Zheng, Y.P. (2021). Night-Time Monitoring System (eNightLog) for Elderly Wandering Behavior. Sensors, 21.","DOI":"10.3390\/s21030704"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Arguello, D., Rogers, E., Denmark, G.H., Lena, J., Goodro, T., Anderson-Song, Q., Cloutier, G., Hillman, C.H., Kramer, A.F., and Castaneda-Sceppa, C. (2023). Companion: A Pilot Randomized Clinical Trial to Test an Integrated Two-Way Communication and Near-Real-Time Sensing System for Detecting and Modifying Daily Inactivity among Adults > 60 Years-Design and Protocol. Sensors, 23.","DOI":"10.3390\/s23042221"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/8\/4091\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:18:43Z","timestamp":1760123923000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/8\/4091"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,19]]},"references-count":12,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["s23084091"],"URL":"https:\/\/doi.org\/10.3390\/s23084091","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,19]]}}}