Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection

Author(s):  
Tong Zhang ◽  
Jue Wang ◽  
Liang Xu ◽  
Ping Liu
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.


Author(s):  
Ricardo Freitas ◽  
Miguel Terroso ◽  
Marco Marques ◽  
Joaquim Gabriel ◽  
Antonio Torres Marques ◽  
...  

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