Back close

Gesture Controlled Automation For Physically Impaired

School: School of Engineering

Project Incharge:Dr. T. Senthil Kumar
Co-Project Incharge:Vishnu Ragu Aruvi
Gesture Controlled Automation For Physically Impaired

This work presents a room automation system using hand gestures which is meant for physically impaired. The objective of project is to develop an algorithm for recognition of hand gestures with reasonable accuracy. Most of the gesture recognition system fails when the background is complex, here in our method we use hand detection in complex background. Feature from motion (Motion history image) are used to classify the gestures. Kinect sensor is used to get the input video which will give the depth map from which we will get the location of the people performing gesture. Different gestures are used to switching on and off function for an Electrical appliance. Arduino Board is used to interface between the computer and the appliances.

Related Projects

KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
KaraChara- Hand Orthosis for Rehabilitation of Stroke Patients
Video Analytics based Identification and Tracking in Smart Spaces
Video Analytics based Identification and Tracking in Smart Spaces
Security Event Processing Acceleration using GPGPU
Security Event Processing Acceleration using GPGPU
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Design and Optimization of Joint Torque Sensor for Robotic Applications
Design and Optimization of Joint Torque Sensor for Robotic Applications
Admissions Apply Now