Technique to estimate human reaction time based on visual perception

Abstract

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.

Keywords

• visual perception
• gyroscopes
• transceivers
• mean square error methods
• fatigue
• biomechanics
• wireless sensor networks
• telemedicine
• HRT
• human reaction time
• visual perception
• wearable system
• visual stimulus
• wireless motion sensors
• gyroscope
• transceiver
• root mean square error
• standard deviation error
• mean error
• fatigue levels
• simple test
• recognition test
• frequency 2.45 GHz
• time 3.34 ms
• time 7.83 ms
• time 0.35 ms