{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T12:02:09Z","timestamp":1722945729758},"reference-count":45,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2014,5,23]],"date-time":"2014-05-23T00:00:00Z","timestamp":1400803200000},"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":"Fall incidents among the elderly often occur in the home and can cause serious injuries affecting their independent living. This paper presents an approach where data from wearable sensors integrated in a smart home environment is combined using a dynamic Bayesian network. The smart home environment provides contextual data, obtained from environmental sensors, and contributes to assessing a fall risk probability. The evaluation of the developed system is performed through simulation. Each time step is represented by a single user activity and interacts with a fall sensors located on a mobile device. A posterior probability is calculated for each recognized activity or contextual information. The output of the system provides a total risk assessment of falling given a response from the fall sensor.<\/jats:p>","DOI":"10.3390\/s140509330","type":"journal-article","created":{"date-parts":[[2014,5,23]],"date-time":"2014-05-23T16:46:27Z","timestamp":1400863587000},"page":"9330-9348","source":"Crossref","is-referenced-by-count":16,"title":["Dynamic Bayesian Networks for Context-Aware Fall Risk Assessment"],"prefix":"10.3390","volume":"14","author":[{"given":"Gregory","family":"Koshmak","sequence":"first","affiliation":[{"name":"School of Innovation, Design and Engineering, M\u00e4lardalen University, H\u00f6gskoleplan 1, V\u00e4ster\u00e5s 721 23, Sweden"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1940-1747","authenticated-orcid":false,"given":"Maria","family":"Linden","sequence":"additional","affiliation":[{"name":"School of Innovation, Design and Engineering, M\u00e4lardalen University, H\u00f6gskoleplan 1, V\u00e4ster\u00e5s 721 23, Sweden"}]},{"given":"Amy","family":"Loutfi","sequence":"additional","affiliation":[{"name":"Center for Applied Autonomous Sensor Systems (AASS), \u00d6rebro University, Fakultetsgatan 1, \u00d6rebro 701 82, Sweden"}]}],"member":"1968","published-online":{"date-parts":[[2014,5,23]]},"reference":[{"key":"ref_1","unstructured":"Nations, U. 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