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A Smart Wheelchair System with Social Media update

Affiliations

  • Department of ECM, K L University, Guntur - 522502, Andhra Pradesh, India

Abstract


Objective: To develop a smart wheelchair for blind and disabled persons. Methods and Analysis: The wheelchairs being used patients are not user friendly. In modern days, it is difficult for a person to attend a patient throughout the day. The proposed wheelchair can be self-manoeuvred easily by the patient using hand or head gestures. Apart from it, the wheelchair is aided by a voice guided indoor positioning system. Findings: We incorporated an IOT service device so that the status of the patient is regularly updated on a web server. This smart wheelchair is connected to the cell-phone of the guardian as well as the social media profile of the patient so that the patient can get help as soon as there's a mishap. Improvement: The wheelchair has ability to detect obstacles across the path of the patient and it can divert its path from the obstacle so as to avoid collision.

Keywords

Gesture Control, Internet of Things, Indoor Positioning, Obstacle Avoidance, Voice Guidance.

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References


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