ItemConference Paper

IoT and Eye Tracking based system for Cerebral Palsy Diagnosis and Assistive Technology

Title
IoT and Eye Tracking based system for Cerebral Palsy Diagnosis and Assistive Technology
Creator
Datta, Baramkula Vishnu Pavan; Mihir, D.V.S.; Aralaguppi, Yogen Avinash; Virupaxappa, G.; Somasundaram, Thangam; Department, Gobi Ramamsamy
Description
Children with Dyskinetic Cerebral Palsy often suffer significant challenges in interacting with digital devices due to their impaired motor control which hinder the use of traditional input methods such as keyboard and touch screens. The limitations can be overcome by developing assistive technology such as the IOT based system that the paper proposes. The paper proposes an eye-tracking system that uses web-cameras along with computer vision algorithms to detect gaze direction and blink patterns paired with a handheld IOT console that bridges the interaction between the user and the digital interface. The study also proposes ways to assess and evaluate a patient's motor and cognitive functions. The proposed solution keeps in mind the motor limitations of a DCP patient and aims to enhance the accessibility of digital interfaces, providing children with severe motor impairments a more intuitive and inclusive means of interacting with technology. 2025 IEEE.
Source
2025 5th International Conference on Intelligent Technologies, CONIT 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Assistive Devices; Blink Detection; Cerebral Palsy; Eye-Tracking; Gaze-Based Interface; Human-Computer Interaction (HCI); IoT; Motor ability assessment; MQTT
Coverage
Datta B.V.P., Amrita School of Computing Amrita Vishwa Vidyapeetham, Department of Computer Science and Engineering, Bengaluru, India; Mihir D.V.S., Amrita School of Computing Amrita Vishwa Vidyapeetham, Department of Computer Science and Engineering, Bengaluru, India; Aralaguppi Y.A., Amrita School of Computing Amrita Vishwa Vidyapeetham, Department of Computer Science and Engineering, Bengaluru, India; Virupaxappa G., Amrita School of Computing Amrita Vishwa Vidyapeetham, Department of Computer Science and Engineering, Bengaluru, India; Somasundaram T., Amrita School of Computing Amrita Vishwa Vidyapeetham, Department of Computer Science and Engineering, Bengaluru, India; Department G.R., CHRIST (Deemed to be University), Department Of Computer Science, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152233-9;
Format
online
Language
English
Type
Conference paper

Citation

Datta, Baramkula Vishnu Pavan; Mihir, D.V.S.; Aralaguppi, Yogen Avinash; Virupaxappa, G.; Somasundaram, Thangam; Department, Gobi Ramamsamy, “IoT and Eye Tracking based system for Cerebral Palsy Diagnosis and Assistive Technology,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25806.

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