Matlab Projects Pune

Device Control Using Hand-Gesture Recognition

Project Definition:  

This project aims in implementing real time gesture recognition. The primary goal of the project is to create a system that can identify human generated gestures and use this information for device control.

The user performs a gesture in front of a camera, which is linked to the computer. The picture of the gesture is then processed to identify the gesture indicated by the user. Once the gesture is identified corresponding control action assigned to the gesture is actuated.

Scope: 

In this system, we basically recognize hand gestures through software and these hand gestures will be used for controlling certain software as well as hardware devices.

Objective:

·        Provide a more natural Human Computer Interface.

·        Provide the physically challenged users a better way to interact with the computers.

·        Interfacing user with software.

·        User can give input without using keyboard, mouse, etc .i.e. to give input  in the form of different body gestures.

·        Helpful for handicap people.

·        Actually finds out the directional gesture vector.

·        Direction as well as count both will be responsible for the hardware control.

E.g. Advanced Hardware Control, Robot Control.

Relevant theory:

We propose a fast algorithm for automatically recognizing a limited set of gestures from hand images for a robot control application. Hand gesture recognition is a challenging problem in its general form. The algorithm is invariant to translation, rotation, and scale of the hand.

We demonstrate the effectiveness of the technique on real imagery. Vision-based automatic hand gesture recognition has been a very active research topic in recent years with motivating applications such as human computer interaction (HCI), robot control, and sign language interpretation. The general problem is quite challenging due to a number of issues including the complicated nature of static and dynamic hand gestures, complex backgrounds, and occlusions. Attacking the problem in its generality requires elaborate algorithms requiring intensive computer resources. What motivates us for this work is a robot navigation problem, in which we are interested in controlling a robot by hand pose signs given by a human. Due to real-time operational requirements, we are interested in a computationally efficient algorithm.

Early approaches to the hand gesture recognition problem in a robot control context involved the use of markers on the finger tips. An associated algorithm is used to detect the presence and color of the markers, through which one can identify which fingers are active in the gesture.

Device Control Using Hand-Gesture Recognition

Project Definition:   

This project aims in implementing real time gesture recognition. The primary goal of the project is to create a system that can identify human generated gestures and use this information for device control.

The user performs a gesture in front of a camera, which is linked to the computer. The picture of the gesture is then processed to identify the gesture indicated by the user. Once the gesture is identified corresponding control action assigned to the gesture is actuated.

Scope:  

In this system, we basically recognize hand gestures through software and these hand gestures will be used for controlling certain software as well as hardware devices. 

Objective:

• Provide a more natural Human Computer Interface.

• Provide the physically challenged users a better way to interact with the computers.

• Interfacing user with software.

• User can give input without using keyboard, mouse, etc .i.e. to give input  in the form of different body gestures.

• Helpful for handicap people.

• Actually finds out the directional gesture vector.

• Direction as well as count both will be responsible for the hardware control.

E.g. Advanced Hardware Control, Robot Control.