Verification of Fall Detection Sensor
Author(s) -
Tadahiro Hasegawa,
Hiroki Yokota
Publication year - 2012
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2012.p1089
Subject(s) - acceleration , computer science , sign (mathematics) , artificial intelligence , fall of man , computer vision , real time computing , simulation , mathematics , physics , mathematical analysis , classical mechanics , politics , political science , law
We report about a fall-detection sensor system that detects the beginning of a fall. The fall-detection sensor system monitors the human pulse as a vital sign, acceleration, and angular velocity. The fall-detection algorithm using these signals enables us to detect the beginning of a fall correctly. Especially, the fall detection algorithm using the vital sign was able to distinguish between a case in which persons did not fall down due to keep their balance although the fall began and a case in which persons fell.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom