Open AccessTechnique to estimate human reaction time based on visual perception
Author(s) -
AbbasiKesbi Reza,
MemarzadehTehran Hamidreza,
Deen M. Jamal
Publication year - 2017
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2016.0106
Subject(s) - computer science , gyroscope , wearable computer , standard deviation , transceiver , wireless , mean squared error , artificial intelligence , motion capture , simulation , computer vision , speech recognition , motion (physics) , statistics , mathematics , engineering , telecommunications , embedded system , aerospace engineering
The design and implementation of a wearable system to estimate the human reaction time (HRT) to visual stimulus based on two identical wireless motion sensors are described. Each sensor incorporates a motion sensor (gyroscope), a processor and a transceiver operating at the industrial, scientific and medical frequency of 2.45 GHz. Relevant tests to estimate the HRT are performed in two different scenarios including simple and recognition tests for 90 pairs of measurements. The obtained results are compared with a computer‐based system to determine the accuracy of the proposed system. The root mean square error, standard deviation error and mean error of the results are 2.88, 6.17 and 0.3 ms for simple test while for recognition test as low as 3.34, 7.83 and 0.35 ms, respectively. The outcomes of the HRT estimation tests confirm HRT can increase by 40–87% due to increased fatigue levels.