2019 14th Conference on Industrial and Information Systems (ICIIS) 2019
DOI: 10.1109/iciis47346.2019.9063306
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Classification of Activities of Daily Living Based on Depth Sequences and Audio

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Cited by 6 publications
(4 citation statements)
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“…In the latter case, studies merged signals from various sensors for energy efficiency and improved accuracy and performance (known as sensor fusion). For example, activity recognition combined depth image sequences and audio data [ 68 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the latter case, studies merged signals from various sensors for energy efficiency and improved accuracy and performance (known as sensor fusion). For example, activity recognition combined depth image sequences and audio data [ 68 ].…”
Section: Resultsmentioning
confidence: 99%
“…Ambient sensing and mobile technology are mainly used in AAL. Sensing uses different sensors to detect available signals that carry specific information on user behavior [ 68 ]. Mobile technologies are convenient to use (ie, market availability, affordability, and wide adoption) at the application level as lifestyle applications for health and well-being [ 65 ] and at the device level as a platform with integrated sensors [ 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…In these cases, multiple features (such as skeleton joints coordinates, joints distances, angles among consecutive joints, and so on) have to be analyzed in spatio-temporal domains to assess different attitudes of the body. ML algorithms [114,115] or DL techniques [116] allow for the manipulation of these complex features, the extraction of significant information, and the construction of complex models that are associated with each activity. The experiments demonstrate that these approaches have good performances and allow for discerning between similar activities.…”
Section: Methodologies For Data Analysismentioning
confidence: 99%
“…These intelligent systems have the ability to learn from data and evolve over time, offering personalized assistance and support. The co-design approach is embraced, involving end-users, caregivers and stakeholders to create users-centered and inclusive solutions ( Siriwardhana et al, 2019 ; Bansal et al, 2021 ; Sophia et al, 2021 ; Gulati and Kaur, 2022 ; Rupasinghe and Maduranga, 2022 ; Warunsin and Phairoh, 2022 ).…”
Section: Introductionmentioning
confidence: 99%