Preprint Imagining In-Air Interaction for Hemiplegia Sufferer
Zhihan Lv, Haibo Li

TL;DR
This paper presents a touch-less in-air interaction technology using computer vision for hemiplegia patients, enabling gesture-based control of devices like smartphones and HMDs to improve accessibility.
Contribution
It introduces a novel in-air gesture interaction system tailored for hemiplegia sufferers, supporting hand and foot gestures for device control.
Findings
Effective gesture detection and tracking demonstrated
Supports both hand and foot interaction
Enhances accessibility for hemiplegia patients
Abstract
This is the preprint version of our paper on 2015 International Conference on Virtual Rehabilitation (ICVR2015). In this paper, we described the imagination scenarios of a touch-less interaction technology for hemiplegia, which can support either hand or foot interaction with the smartphone or head mounted device (HMD). The computer vision interaction technology is implemented in our previous work, which provides a core support for gesture interaction by accurately detecting and tracking the hand or foot gesture. The patients interact with the application using hand/foot gesture motion in the camera view.
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Taxonomy
TopicsAdvanced Computing and Algorithms · Gaze Tracking and Assistive Technology
