Leg Movement Controlled Robotic Leg for Menace Preclusion

Movement of autonomous humanoid is a key area, as we gradually accept robots. This research proposes an “Artificial Human Leg Model” which can precisely follow the real movements of human leg by means of image processing thereby avoiding sensor noise and damage and providing more adjustable response. Webcams are used to capture the leg images followed by Morphological image processing to extract information from human leg movement. The four degrees of freedom implemented in the proposed method are rotation of base, leg like motions, knee like motions, and steps motions. The robot leg is controlled successfully using human leg movement, where the system can travel a distance, manoeuvre in an uneven surface and move the robot from one place to other with precision. The user can control the leg entirely based on his/her intentions to accomplish the required task. The proposed real-time method of implementing human leg movement also ensures immediate control and performance. Distant control of the robotic leg does not only ensure complete safety to human, but also allows flexibility in controlling distant objects. The overall goal of the proposed system is to guarantee safety, flexibility and accuracy in movements when performing sensitive tasks in day-to-day life activities thus offering suitability for menace preclusion.