Multiphase Identification Algorithm for Fall Recording Systems Using a Single Wearable Inertial Sensor

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 9; p. 3302
• Main Authors: Hsieh, Chia-Yeh, Huang, Hsiang-Yun, Liu, Kai-Chun, Liu, Chien-Pin, Chan, Chia-Tai, Hsu, Steen Jun-Ping
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 10.05.2021; MDPI
• Subjects: Algorithms; Automatic pilots; Cameras; Caregivers; Consciousness; Data collection; fall recording system; Falls; Identification; Machine learning; Microelectromechanical systems; multiphase identification; Phases; Sensors; Support vector machines; wearable inertial sensor; Young adults; United States > US

Fall-related information can help clinical professionals make diagnoses and plan fall prevention strategies. The information includes various characteristics of different fall phases, such as falling time and landing responses. To provide the information of different phases, this pilot study propose...