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JACIII Vol.26 No.5 pp. 747-757
doi: 10.20965/jaciii.2022.p0747
(2022)

Review:

A Review on Fall Detection in Smart Home for Elderly and Disabled People

Tsepo Constantinus Kolobe, Chungling Tu, and Pius Adewale Owolawi

Department of Computer Systems Engineering, Tshwane University of Technology
2 Aubrey Matlakala Street, Soshanguve, Pretoria 0001, South Africa

Corresponding author

Received:
August 30, 2021
Accepted:
May 21, 2022
Published:
September 20, 2022
Keywords:
fall detection, wearable device, vision-based, ambience device, multimodal
Abstract

Falling is a major challenge faced by elderly and disabled people who live alone. They therefore need reliable surveillance so they can be assisted in the event of a fall. An effective fall detection system is needed to provide good care to such people as it will allow for communication with caregivers. Such a system will not only reduce the medical costs related to falls but also lower the death rate among elderly and disabled people due to falls. This review paper presents a survey of different fall detection techniques and algorithms used for fall detection. Various fall detection approaches including wearable, vision, ambience, and multimodal systems are analyzed and compared and recommendations are presented.

Cite this article as:
T. Kolobe, C. Tu, and P. Owolawi, “A Review on Fall Detection in Smart Home for Elderly and Disabled People,” J. Adv. Comput. Intell. Intell. Inform., Vol.26, No.5, pp. 747-757, 2022.
Data files:
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Last updated on Sep. 22, 2022