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Open access Oct 2026

NEUROSYNC: A HYBRID BRAINWAVE–GESTURE CONTROL SYSTEM

— Today, automation technology is becoming increasingly accessible, user friendly, and efficient, enabling novel solutions for improving the quality of life. This project explores the integration of brain-computer interfaces (BCI) with the Internet of Things (IoT) to provide a smart assistive system for individuals wit...

Meril Cyriac, G. Dr.Kanjana, Reena M. Roy et al. · 0 citations
Open access Sep 2026

Classification of forearm muscle forces for controlling assistive devices

An affordable, multi-channel wearable FMG armband that reliably captures forces at multiple forearm muscle locations during different gestures and such a simple, low-cost, and effective scheme based on FMG can help control prosthetic and robotic devices using human intentions.

Laxmi Gupta, Naveeta Kharendra, Alok Prakash · 0 citations
Open access Sep 2026

Wearable Gyroscope-Based Motion Tracking and Hand Gesture Recognition Using ANOVA for Feature Discrimination

A wearable hand gesture recognition system employing an MPU6500 gyroscope to detect tri-axial angular velocity corresponding to five different pre-defined hand gestures, making it ideal for applications in rehabilitation monitoring, assistive communication, and wearables.

Neela Harish, Deepa S., Umasankar Loganathan et al. · 2 citations
Open access Oct 2026

Artificial Intelligence–Powered Eye-Tracking Assistive System with You Only Look Once, Version 3 for Individuals with Disabilities

Assistive technologies for individuals with disabilities are crucial in promoting social inclusion and enabling them to participate more fully in daily life. This article focuses on designing and developing a cost-effective head-mounted eye-tracking system aimed at enhancing the quality of life for individuals with sev...

Mohanad A. Deif, Hani Attar, M. Elhoseny et al. · 0 citations
Open access Sep 2026

Assistive Input Device for Users with Limb Impairments

Individuals with severe limb impairments encounter substantial barriers during human‑computer interaction, while commercially available assistive input devices are often prohibitively expensive. This paper presents a low‑cost wearable assistive input device (bill‑of‑materials cost < ¥130) built around the nRF52832 Blue...

Xuan-Ting Chen · 0 citations

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