Unique Locomotive Wheelchair Robot Mechanism using Gesture and Android

Wheelchairs are used by the people who cannot walk due to physical illness, injury or other disability. Elderly peoples are unable to walk, we need to take care of these peoples every days .so, elderly people to maneuver a mechanical wheelchair, which many of them normally use for locomotion. Hence there is a need for designing a wheelchair that is intelligent and provides easy transportation for the physically challenged peoples and elderly peoples. In this context, an attempt has been made to propose a thought controlled wheelchair, which uses the captured signals from the user’s action and processes it to control the wheelchair. The signals which are captured and translated into movement commands by the microcontroller which in turn move the wheelchair

Hybrid Head Tracking for Wheelchair Control Using Haar Cascade Classifier and KCF Tracker

Disability may limit someone to move freely, especially when the severity of the disability is high. In order to help disabled people control their wheelchair, head movement-based control is preferred due to its reliability. This paper proposed a head direction detector framework which can be applied to wheelchair control. First, face and nose were detected from a video frame using Haar cascade classfier. Then, the detected bounding boxes were used to initialize Kernelized Correlation Filters tracker. Direction of a head was determined by relative position of the nose to the face, extracted from tracker’s bounding boxes. Results show that the method effectively detect head direction indicated by 82% accuracy and very low detection or tracking failure

Hybrid wheelchair controller for handicapped and quadriplegic patients

In this dissertation, a hybrid wheelchair controller for handicapped and quadriplegic patient is proposed. The system has two sub-controllers which are the voice controller and the head tilt controller. The system aims to help quadriplegic, handicapped, elderly and paralyzed patients to control a robotic wheelchair using voice commands and head movements instead of a traditional joystick controller. The multi-input design makes the system more flexible to adapt to the available body signals. The low-cost design is taken into consideration as it allows more patients to use this system