Sensor-Based Fall Risk Assessment: A Survey

Guangyang Zhao, Liming Chen, Huansheng Ning

Research output: Contribution to journalReview articlepeer-review

1 Downloads (Pure)

Abstract

Fall is a major problem leading to serious injuries in geriatric populations. Sensor-based fall risk assessment is one of the emerging technologies to identify people with high fall risk by sensors, so as to implement fall prevention measures. Research on this domain has recently made great progress, attracting the growing attention of researchers from medicine and engineering. However, there is a lack of studies on this topic which elaborate the state of the art. This paper presents a comprehensive survey to discuss the development and current status of various aspects of sensor-based fall risk assessment. Firstly, we present the principles of fall risk assessment. Secondly, we show knowledge of fall risk monitoring techniques, including wearable sensor based and non-wearable sensor based. After that we discuss features which are extracted from sensors in fall risk assessment. Then we review the major methods of fall risk modeling and assessment. We also discuss some challenges and promising directions in this field at last.
Original languageEnglish
Article numbere1448
JournalHealthcare
Volume9
Issue number11
Early online date27 Oct 2021
DOIs
Publication statusE-pub ahead of print - 27 Oct 2021

Keywords

  • fall risk assessment
  • fall prediction
  • gait monitoring
  • sensor

Fingerprint

Dive into the research topics of 'Sensor-Based Fall Risk Assessment: A Survey'. Together they form a unique fingerprint.

Cite this