{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T07:02:50Z","timestamp":1763535770955,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"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>This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer\u2019s head using prespecified thresholds. The proposed system consists of a triaxial accelerometer, gyroscope, and magnetometer; as such, a Madgwick\u2019s filter is adopted to improve the accuracy of the estimation of orientation. Moreover, with its integrated Wi-Fi module, the proposed system can notify an emergency contact in a timely manner to provide help for the falling person. Based on experimental results concerning falling movements and activities of daily living, the proposed system achieved a sensitivity of 96.67% in fall detection, with a specificity of 98.27%, and, therefore, is suitable for detecting falling movements in daily life.<\/jats:p>","DOI":"10.3390\/s20205774","type":"journal-article","created":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T21:24:39Z","timestamp":1602710679000},"page":"5774","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Innovative Head-Mounted System Based on Inertial Sensors and Magnetometer for Detecting Falling Movements"],"prefix":"10.3390","volume":"20","author":[{"given":"Chih-Lung","family":"Lin","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Wen-Ching","family":"Chiu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Ting-Ching","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Yuan-Hao","family":"Ho","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Fu-Hsing","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Chih-Cheng","family":"Hsu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Ping-Hsiao","family":"Hsieh","sequence":"additional","affiliation":[{"name":"Garmin Asia Corporation, New Taipei City 221, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1046-949X","authenticated-orcid":false,"given":"Chien-Hsu","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Industrial Design, National Cheng Kung University, Tainan City 701, Taiwan"}]},{"given":"Chou-Ching K.","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Neurology, National Cheng Kung University Hospital, Tainan City 704, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2505-7583","authenticated-orcid":false,"given":"Pi-Shan","family":"Sung","sequence":"additional","affiliation":[{"name":"Department of Neurology, National Cheng Kung University Hospital, Tainan City 704, Taiwan"}]},{"given":"Peng-Ting","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1109\/TITB.2012.2214786","article-title":"A Posture Recognition-based Fall detection System for Monitoring an Elderly Person in a Smart Home Environment","volume":"16","author":"Yu","year":"2012","journal-title":"IEEE Trans. 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