HCApr 13, 2015

Preprint Imagining In-Air Interaction for Hemiplegia Sufferer

arXiv:1504.03371v216 citations
AI Analysis

This addresses interaction challenges for hemiplegia patients, but is incremental as it builds on existing technology.

The paper explores touch-less interaction scenarios using computer vision for hemiplegia patients to interact with smartphones or HMDs via hand or foot gestures, but provides no concrete results or numbers.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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