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About this paper
Wiesław Kopeć, Jarosław Kowalski, Aleksander Majda, Anna Duszyk-Bogorodzka, Anna Jaskulska, Cezary Biele
An exploratory study investigated the feasibility and user perception of Electromyography (EMG) and AI-based interaction for Smart Home Technologies (SHT) among older adults and impaired persons. Researchers at Polish institutions, including PJAIT and the National Information Processing Institute, found all 18 diverse participants could successfully operate an SHT prototype via facial expressions, yet identified challenges in interface accuracy, user training, and interaction intuitiveness.
Key insights
- All 18 participants successfully operated the preconfigured EMG SHT setup, controlling a light source through facial expressions.
- Participants viewed EMG control as a desirable primary interface for hands-free operation and privacy-sensitive scenarios, and as a valuable supplementary interface.
- Caregiver feedback indicated the proposed solution held significant practical potential for enhancing daily caregiving for individuals with severe impairments.
Summary by alphaXiv.
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