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Affiliation

Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Department of Electronics, Telecommunications and Informatics, Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal

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2 Papers

Gesture Recognition for Communication Support in the Context of the Bedroom: Comparison of Two Wearable Solutions

Topics: Smart Environments and Housing; Wearable Technologies; Internet of Things and Smart Devices for Independent Living

Authors: Ana Rocha ¹ , Diogo Santos ² , Florentino Sánchez ² , Gonçalo Aguiar ² , Henrique Ramos ² , Miguel Ferreira ² , Tiago Bastos ² , Ilídio C. Oliveira ¹ and António Teixeira ¹

Affiliations: ¹ Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Department of Electronics, Telecommunications and Informatics, Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal , ² Department of Electronics, Telecommunications and Informatics, University of Aveiro, Aveiro, Portugal

Digital Object Identifier: 10.5220/0011991700003476

Proceedings of ICT4AWE 2023, ISBN: 978-989-758-645-3

Quick Abstract

Gestures can be a suitable way of supporting communication for people with communication difficulties, especially in the bedroom scenario. In the scope of the AAL APH-ALARM project, we previously proposed a gesture-based communication solution for the bedroom context, which relies on a smartwatch for gesture recognition. In this contribution, our main aim is to explore better wearable alternatives to the smartwatch regarding the form factor and comfort of use, as well as cost. We compare a smartwatch and a simpler, smaller, less expensive wearable device from MbientLab, both integrating an accelerometer and a gyroscope, in terms of gesture classification performance. The results obtained based on data acquired from six subjects and the support vector machines algorithm show that, overall, both explored devices lead to a model with promising and similar results (mean accuracy and F1 score of 98%, and mean false positive rate of 2%), being thus possible to rely on a smaller and lower cost wearable device, such as the MbientLab sensor module, for recognizing the considered arm gestures.

Gesture-Based Communication for People with Aphasia While in Bed

Topics: Smart Environments and Housing; Autonomy and Active Ageing; Human Communication and Behavioural Studies of Senior Citizens; Internet of Things and Smart Devices for Independent Living

Authors: Fábio Nunes , Ana Rocha , Ana Valente , Samuel Silva and António Teixeira

Affiliation: Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Department of Electronics, Telecommunications and Informatics, Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal

Digital Object Identifier: 10.5220/0011989200003476

Proceedings of ICT4AWE 2023, ISBN: 978-989-758-645-3

Quick Abstract

Communication is an essential part of life and, when affected, as it happens to persons with Aphasia (PWAs), it severely impacts their quality of life. Augmentative and Alternative Communication (AAC) approaches aim to aid people with their communication disabilities. However, not all parts of the day are easily covered by these solutions, e.g., when lying in bed without immediate access to them or in a state of distress that precludes reaching for one. To address this challenge, working with PWAs is key, but the communication issues affecting them might work as a barrier to obtain their contribution during the conceptual stage. To gather contributions that can work as a common ground to obtain PWAs’ feedback we have been collaborating with Speech and Language Therapists (SLTs) to propose a system that allows two-way remote communication between a PWA lying in bed, alone, and other people (e.g., caregiver). Here, we describe this first stage with the SLTs leading to the conceptualization of a solution consisting of communication mediated by an assistant based on simple Yes/No questions presented audiovisually to the PWA and answered through gestures. Overall, the SLTs emphasized its adequateness and its strong potential to increase PWAs’ independence.