Human Robot Interface and Visual Compressive Detecting on Robot Arm

Authors

  • Zaiba . Student, Department of Electronics and Communication Engineering, Sree Buddha College of Engineering, Pattoor, Alappuzha, Kerala, India
  • Ambika Sekhar Head, Department of Electronics and Communication Engineering, Sree Buddha College of Engineering, Pattoor, Alappuzha, Kerala, India

Keywords:

Action recognition, brain computer interaction, interfacing of human robot, internet of Things, sensory perception.

Abstract

Vision compressive sensing, brain machine reference commands, and adaptive controller have been effectively integrated that enable the robot to perform manipulation tasks as guided by human operator’s mind and according to its innovative views. The ideology proposed consists of following main phases: (1) action recognition (2) hardware interfacing. Initially action recognition captures video according to movements enacted in recognition system. Later, in hardware interfacing it passes required commands by a sensor attached to microcontroller that senses the input, detects where the arm to be moved and provides better accuracy for the movements to be performed. Thus this system maintains robust communication that can manipulate actions and cognitive emotions. In IoT, the server will upload data to client with the help of MQTT protocol to access robot from anywhere across the world.

Cite this Article

Zaiba, Ambika Sekhar. Human Robot Interface and Visual Compressive Detecting on Robot Arm. Current Trends in Information Technology. 2018; 8(3): 5–12p.

References

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Published

2019-02-04

Issue

Vol. 8 No. 3 (2018)

Section

Research Articles

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