Release Time:2022-10-12  Hits:

Date of Publication: 2022-10-10

Journal: 生物医学工程学杂志

Institution: 电子信息与电气工程学部

Volume: 30

Issue: 1

Page Number: 95-99

ISSN: 1001-5515

Abstract: A falling is a risky incident of safety and health of human. It may
   cause serious injuries, such as bone fracture, and even death. A falling
   detection method based on inclinometer is described. At first, we
   collect angle data recorded by a wearable inclinometer placed at
   subject's waist. The angular data are transmitted to PC through a
   wireless data transmission device. Then, the falling duration is divided
   into three phases: the state of fall, the impact phase, and the posture
   phase. We make threshold-based fall-detection decisions in every phase
   after feature extraction and analysis of the short-time angle data.
   Finally, a robust falling detection result is given by comprehensive
   considerations of the three phases decisions. The experiment results
   proved that the accuracy of our falling detection method was up to
   97.23% without undetected falls.

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