{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T10:50:07Z","timestamp":1783075807442,"version":"3.54.6"},"reference-count":50,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T00:00:00Z","timestamp":1556409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100016992","name":"Universidad Panamericana","doi-asserted-by":"publisher","award":["UP-CI-2017-ING-MX-02"],"award-info":[{"award-number":["UP-CI-2017-ING-MX-02"]}],"id":[{"id":"10.13039\/100016992","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall detection systems can mitigate negative consequences of falls. Among the important challenges and issues reported in literature is the difficulty of fair comparison between fall detection systems and machine learning techniques for detection. In this paper, we present UP-Fall Detection Dataset. The dataset comprises raw and feature sets retrieved from 17 healthy young individuals without any impairment that performed 11 activities and falls, with three attempts each. The dataset also summarizes more than 850 GB of information from wearable sensors, ambient sensors and vision devices. Two experimental use cases were shown. The aim of our dataset is to help human activity recognition and machine learning research communities to fairly compare their fall detection solutions. It also provides many experimental possibilities for the signal recognition, vision, and machine learning community.<\/jats:p>","DOI":"10.3390\/s19091988","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T02:57:32Z","timestamp":1556506652000},"page":"1988","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":343,"title":["UP-Fall Detection Dataset: A Multimodal Approach"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9038-7821","authenticated-orcid":false,"given":"Lourdes","family":"Mart\u00ednez-Villase\u00f1or","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Augusto Rodin 498, M\u00e9xico, Ciudad de M\u00e9xico 03920, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6559-7501","authenticated-orcid":false,"given":"Hiram","family":"Ponce","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Augusto Rodin 498, M\u00e9xico, Ciudad de M\u00e9xico 03920, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge","family":"Brieva","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Augusto Rodin 498, M\u00e9xico, Ciudad de M\u00e9xico 03920, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9637-786X","authenticated-orcid":false,"given":"Ernesto","family":"Moya-Albor","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Augusto Rodin 498, M\u00e9xico, Ciudad de M\u00e9xico 03920, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9","family":"N\u00fa\u00f1ez-Mart\u00ednez","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Augusto Rodin 498, M\u00e9xico, Ciudad de M\u00e9xico 03920, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Pe\u00f1afort-Asturiano","sequence":"additional","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Augusto Rodin 498, M\u00e9xico, Ciudad de M\u00e9xico 03920, Mexico"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,28]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2015). 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