Design of a Robotic Hand System to address Therapist Shortages in Stroke Recovery

Authors

Siyabonga Mahlangu, University of Johannesburg, South Africa

Suvendi Rimer, University of Johannesburg, South Africa

Kwazikwenkosi Sikhakhane, University of Johannesburg, South Africa

Published in

IST-Africa 2026 Conference Proceedings

ISSN: 2576-8581

ISBN: 978-1-905824-76-2

DOI: https://doi.org/10.67725/IST-Africa.2026.ECHR1471

Publisher

IST-Africa Institute and IIMC International Information Management Corporation Ltd

Published in Ireland

Abstract

Access to rehabilitation in rural areas is often limited, leaving stroke and hand-impaired patients without consistent support. This paper presents a low-cost, AI-based, vision-guided smart glove that delivers real-time hand rehabilitation via embedded sensors, object recognition, and multimodal feedback. The system integrates an ESP32-CAM for classification, an ESP32-Dev board for flex sensor monitoring, and an OLED with a buzzer for feedback and guidance. Experiments show reliable object recognition and accurate finger tracking, with model accuracy improved to 85% through calibration and data refinement. The glove enables safe, independent rehabilitation and reduces reliance on therapists, supporting accessible healthcare in resource-limited settings. This work demonstrates the potential of AI-driven, low-power assistive technologies to improve access to rehabilitation in resource-limited settings, aligning with UN SDG 3: Good Health and Well-being.

Keywords

AI vision, smart glove, hand rehabilitation, ESP32-CAM, sensor fusion, assistive technology, rural healthcare

Cite this paper

S. Mahlangu, S. Rimer and K. Sikhakhane (2026) "Design of a Robotic Hand System to address Therapist Shortages in Stroke Recovery", IST-Africa 2026 Conference Proceedings, Miriam Cunningham and Paul Cunningham (Eds), IST-Africa Institute and IIMC, 2026, ISSN: 2576-8581, ISBN: 978-1-905824-76-2, https://doi.org/10.67725/IST-Africa.2026.ECHR1471

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