| DOI | Trouver le DOI : https://doi.org/10.1109/LSENS.2024.3425760 |
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| Auteur | Rechercher : Valdés, Julio J.1Identifiant ORCID : https://orcid.org/0000-0003-2930-0325; Rechercher : Cook, Zara1Identifiant ORCID : https://orcid.org/0009-0009-6059-4377; Rechercher : Wang, JackIdentifiant ORCID : https://orcid.org/0009-0009-1621-2298; Rechercher : Wallace, BruceIdentifiant ORCID : https://orcid.org/0000-0003-4379-2717; Rechercher : Laska, BradyIdentifiant ORCID : https://orcid.org/0000-0003-4336-0228; Rechercher : Green, JamesIdentifiant ORCID : https://orcid.org/0000-0002-6039-2355; Rechercher : Goubran, RafikIdentifiant ORCID : https://orcid.org/0000-0003-4087-416X; Rechercher : Xi, Pengcheng1Identifiant ORCID : https://orcid.org/0000-0003-3236-5234 |
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| Affiliation | - Conseil national de recherches du Canada. Technologies numériques
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| Format | Texte, Article |
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| Sujet | sensor applications; aging in place; explainable artificial intelligence (XAI); home care; human activity recognition; multimodal feature learning; sensor data; visualization; sensors; representation learning; feature extraction; explainable ai; manifolds; data models |
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| Résumé | This letter presents an approach to enhance the well-being and safety of aging populations through better understanding their everyday activities. Our approach uses ambient sensor data and analyzes them with multimodal feature learning and explainable artificial intelligence (XAI) through the ImageBind framework. By integrating the SHapley Additive exPlanations (SHAP) method, our system uncovers intricate patterns within human daily activities. Experimental results reveal significant improvements in activity classification accuracy, particularly with the XGBoost model applied to the Kinetics dataset. Moreover, by utilizing a subset of the most influential features identified through SHAP analysis, our method achieves notable reductions in predictors without sacrificing performance. |
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| Date de publication | 2024-07-18 |
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| Maison d’édition | Institute of Electrical and Electronics Engineers |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | a433307b-1ca3-4940-92da-c8b210ff4dbf |
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| Enregistrement créé | 2024-08-21 |
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| Enregistrement modifié | 2024-08-22 |
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