Human Arm Movement Detection Using Low-Cost Sensors for Controlling Robotic Arm


  • A. Soetedjo Department of Electrical Engineering, National Institute of Technology Malang, Indonesia.
  • I.K. Somawirata Department of Electrical Engineering, National Institute of Technology Malang, Indonesia.
  • A. Irawan Department of Electrical Engineering, National Institute of Technology Malang, Indonesia.


Human Arm Detection, Robotic Arm, Potentiometer, Flex Sensor,


This paper presents the development of a wearable device to detect the human arm movement for controlling the robotic arm remotely. The proposed system employs the simple and low-cost sensors consist of seven potentiometers and one flex sensor. A small size Arduino Nano microcontroller is employed as the processing unit to process the analog signal from the sensor into the digital value which is then sent to the robotic arm via the Bluetooth communication. The experimental results show that the system achieves good linearity between the human arm movement and the robotic arm movement. The average linearity error of the whole sensors that represents the deviation of sensor output from the ideal one is 2.20%. Since the sensors are simple and low cost, the error could be acceptable for the real implementation.


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How to Cite

Soetedjo, A., Somawirata, I., & Irawan, A. (2018). Human Arm Movement Detection Using Low-Cost Sensors for Controlling Robotic Arm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-3), 43–46. Retrieved from