Movement disorders from Parkinsonian syndromes, paralysis, and neuromuscular injuries affect millions in India, yet current assistive solutions remain expensive, inflexible, and lack clinical feedback. This paper introduces the Mobility Control Assistant (MCA), a low-cost wearable IoT platform built on an MPU6050 IMU, ESP32, and MQTT-based cloud communication, enabling gesture control for wheelchair navigation, smart-home automation, adaptive gaming, and rehabilitation monitoring. A complementary filter, adjustable deadband gate, and EMA filter suppress involuntary tremor while preserving intentional gestures. Clinical metrics such as RMS tremor deviation, stability score, and recovery score are stored in a normalized three-table database via REST API. With 100 ms control latency, a Rs. 3,500–4,000 hardware cost, and 82% user satisfaction, MCA offers a scalable path toward affordable, continuous rehabilitation and greater independence for mobility-impaired individuals.

Assistive Technology,Internet of Things (IoT),ESP32,mpu6050,MQTT,wheelchair users,mobility,Smart Home,automation