IoT Based Forklift Worker Fatigue Monitoring Device


  • Syira Universiti Tun Hussein Onn Malaysia
  • Hazli Universiti Tun Hussein Onn Malaysia


Forklift Driver, Fatigue detection, Heartbeat, Grip Force, Smart Band, Blynk App, ESP32, Arduino Nano, Pulse Sensor, Force Sensor


Today we are becoming aware that most of the warehouse accidents occur due to fatigue or a drowsy forklift driver. In this study, a fatigue detection system to maintain the safety and health of the workplace was developed by monitoring the heartbeat and hand or finger grip force to detect forklift driver fatigue noninvasively and in real-time through an IoT application (Blynk) using a portable smart band. These alternative methods have been proposed to use with ESP32, Arduino Nano, pulse sensor, and force sensor which attached to the worker’s finger. If the driver is fatigued, then the system will give buzz and vibrate the alarm to alert the driver. The changes in the heartbeat rate and grip force were measured experimentally to ensure the accuracy and validity of measuring heartbeat rate and grip force. The experimental results prove that the developed system using pulse and force sensor is able to detect and monitor a person's fatigue level.




How to Cite

Mohd Arsad, S. S. . ., & Mazlan, M. H. . . (2020). IoT Based Forklift Worker Fatigue Monitoring Device. Evolution in Electrical and Electronic Engineering, 1(1), 260–269. Retrieved from