Wearable Sensor-Based Human Fall Detection Wireless System

Author(s):  
Vaishna S. Kumar ◽  
Kavan Gangadhar Acharya ◽  
B. Sandeep ◽  
T. Jayavignesh ◽  
Ashvini Chaturvedi
Author(s):  
Jarinya Limpanadusadee ◽  
Panyarat Kesawattana ◽  
Thitiwud Wongsawat ◽  
Damras Wongsawang

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Falin Wu ◽  
Hengyang Zhao ◽  
Yan Zhao ◽  
Haibo Zhong

Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable device. The system monitors the movements of human body, recognizes a fall from normal daily activities by an effective quaternion algorithm, and automatically sends request for help to the caregivers with the patient’s location.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2068
Author(s):  
Armands Ancans ◽  
Modris Greitans ◽  
Ricards Cacurs ◽  
Beate Banga ◽  
Artis Rozentals

This paper presents a wearable wireless system for measuring human body activities, consisting of small inertial sensor nodes and the main hub for data transmission via Bluetooth for further analysis. Unlike optical and ultrasonic technologies, the proposed solution has no movement restrictions, such as the requirement to stay in the line of sight, and it provides information on the dynamics of the human body’s poses regardless of its location. The problem of the correct placement of sensors on the body is considered, a simplified architecture of the wearable clothing is described, an experimental set-up is developed and tests are performed. The system has been tested by performing several physical exercises and comparing the performance with the commercially available BTS Bioengineering SMART DX motion capture system. The results show that our solution is more suitable for complex exercises as the system based on digital cameras tends to lose some markers. The proposed wearable sensor clothing can be used as a multi-purpose data acquisition device for application-specific data analysis, thus providing an automated tool for scientists and doctors to measure patient’s body movements.


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