A framework for tracking system aiding disabilities
I Mohanraj, S. Siddharth · 2017
The limitation of the physically disabled affect the living quality of the person to a great extent. The impairments are of different types which are visual, auditory, mobility and cognitive. According to the causes of impairments they are classified as prenatal, postnatal and perinatal disabilities. The proposed system is fully autonomous for Indoor Navigation and semi-autonomous for Outdoor Navigation. The framework has Activation and Localization modules. The Activation module uses Voice Recognition or Remote Control to summon the chair. The method is chosen based upon the people's disability. The Localization module has varied sub modules: Obstacle detection and Obstacle avoidance. The Localization is done using 3D modelling technique or emulation of the movement of normal people. The framework incorporates a Memory Unit in ATS which reduces the computational time and the response time has a marginal change than other Tracking assistive systems. The Obstacle detection occurs with the Depth Image Sensor which records the depth of the environment using the Infrared Projection. The obstacles are avoided using the motors in wheels of EPW to turn the wheelchair for a required angle and the wheelchair proceeds in free space. The records of DIS and detected obstacle's dimensions are loaded into Cloud or local Database.