Dynamic Image Networks for Human Fall Detection in 360-degree Videos

2019 ◽  
pp. 65-78
Author(s):  
Sumeet Saurav ◽  
T. N. D. Madhu Kiran ◽  
B. Sravan Kumar Reddy ◽  
K. Sanjay Srivastav ◽  
Sanjay Singh ◽  
...  
Keyword(s):  
Fall Detection ◽  
Dynamic Image

Development of Fall Detection System Using Ultrasound Sensors

2011 ◽  
Vol 131 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Takuya Tajima ◽  
Takehiko Abe ◽  
Haruhiko Kimura
Keyword(s):  
Detection System ◽  
Fall Detection

DEVELOPMENT OF FALL DETECTION ALGORITHM FOR TELEMONITORING SYSTEM

2019 ◽  
Vol 7 (2) ◽  
pp. 1
Author(s):  
C. A. MEBRIM ◽  
O. C. UBADIKE ◽  
A. M. AIBINU ◽  
I. I. ALEGBELEYE ◽  
A. J. ONUMANYI ◽  
...  
Keyword(s):  
Fall Detection ◽  
Detection Algorithm

HUMAN FALL DETECTION AND TRACKING SYSTEM USING MEMS SENSOR

2017 ◽  
Vol 6 (3) ◽  
pp. 20
Author(s):  
A. SAIPRIYA ◽  
V. MEENA ◽  
MAALIK M.ABDUL ◽  
D. PRAVINRAJ ◽  
P. JEGADEESHWARI ◽  
...  
Keyword(s):  
Tracking System ◽  
Fall Detection ◽  
Mems Sensor ◽  
Detection And Tracking

Design and implementation of fall detection system using tri-axis accelerometer

2013 ◽  
Vol 32 (5) ◽  
pp. 1450-1452 ◽  
Author(s):  
Rong WANG ◽  
Yun ZHANG ◽  
Jian-xin CHEN
Keyword(s):  
Detection System ◽  
Fall Detection ◽  
Design And Implementation

Application of Intelligent Facial Dynamic Information Image in Warm Acupuncture and Moxibustion on Peripheral Facial Paralysis (Preprint)

2020 ◽  
Author(s):  
Yanping Chen ◽  
Dongjie Yu ◽  
Jane Cansoni
Keyword(s):  
Facial Paralysis ◽  
Computer Technology ◽  
Treatment Time ◽  
Facial Features ◽  
Nerve Function ◽  
Facial Nerve Function ◽  
Peripheral Facial Paralysis ◽  
Image Information ◽  
Dynamic Image ◽  
Acupuncture And Moxibustion

BACKGROUND Background: Nowadays, the application of computer technology in the medical field is more and more extensive, and many diseases can achieve better diagnosis and treatment effects through computer technology. OBJECTIVE Objective: The paper applies intelligent facial dynamic image information to the clinical treatment of peripheral acupuncture and moxibustion for the treatment of peripheral facial paralysis. An automatic acupoint positioning algorithm based on facial information dynamic image is proposed, which provides an objective and standard basis for the treatment of facial acupuncture and moxibustion. METHODS Methods: The paper selects the head threshold, that is, the facial dynamic image information as the research background, and divides the facial features according to the "three courts and five eyes" rule, and uses the Minimum Eigenvalue operator to detect the corner points of the facial features, locate the facial features, and use the face. The feature position is used as a reference coordinate for facial acupoint positioning. RESULTS Results: After verification, it was found that the positioning was accurate, and the peripheral facial paralysis of the patient was improved after warm acupuncture point positioning treatment, which improved the facial nerve function of the patient, improved the treatment efficiency and shortened the treatment time. Therefore, this technology is worthy of clinical promotion. CONCLUSIONS Conclusion: Through experimental analysis, the algorithm is proved to be effective and accurate. Based on facial dynamic image information to locate acupoints, warm acupuncture has a significant effect on peripheral facial paralysis, which can significantly improve facial nerve function and shorten treatment time, which is worthy of clinical promotion.

Wearable Computing With Distributed Deep Learning Hierarchy: A Study of Fall Detection

2020 ◽  
Vol 20 (16) ◽  
pp. 9408-9416
Author(s):  
Xiaoye Qian ◽  
Huan Chen ◽  
Haotian Jiang ◽  
Justin Green ◽  
Haoyou Cheng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Wearable Computing ◽  
Fall Detection

scholarly journals Deep learning for vision‐based fall detection system: Enhanced optical dynamic flow

2020 ◽  
Author(s):  
Sagar Chhetri ◽  
Abeer Alsadoon ◽  
Thair Al‐Dala'in ◽  
P. W. C. Prasad ◽  
Tarik A. Rashid ◽  
...  
Keyword(s):  
Deep Learning ◽  
Detection System ◽  
Fall Detection ◽  
Dynamic Flow
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