ActivityExplorer: A semi-supervised approach to discover unknown activity classes in HAR systems

Brighi, Marco; Franco, Annalisa; Maio, Dario

doi:10.1016/j.patrec.2021.08.029

Pattern Recognition Letters

2021

DOI: 10.1016/j.patrec.2021.08.029

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ActivityExplorer: A semi-supervised approach to discover unknown activity classes in HAR systems

Marco Brighi

Annalisa Franco

Dario Maio

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2024

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Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review

D’arco,

Mccalmont,

Wang

et al. 2024

ACM Trans. Comput. Healthcare

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Recent years have witnessed the increasing literature on using smart insoles in health and well-being, and yet, their capability of daily living activity recognition has not been reviewed. This paper addressed this need and provided a systematic review of smart insole-based systems in the recognition of Activities of Daily Living (ADLs). The review followed the PRISMA guidelines, assessing the sensing elements used, the participants involved, the activities recognised, and the algorithms employed. The findings demonstrate the feasibility of using smart insoles for recognising ADLs, showing their high performance in recognising ambulation and physical activities involving the lower body, ranging from 70% to 99.8% of Accuracy, with 13 studies over 95%. The preferred solutions have been those including machine learning. A lack of existing publicly available datasets has been identified, and the majority of the studies were conducted in controlled environments. Furthermore, no studies assessed the impact of different sampling frequencies during data collection, and a trade-off between comfort and performance has been identified between the solutions. In conclusion, real-life applications were investigated showing the benefits of smart insoles over other solutions and placing more emphasis on the capabilities of smart insoles.

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Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review

D’arco,

Mccalmont,

Wang

et al. 2024

ACM Trans. Comput. Healthcare

View full text Add to dashboard Cite

show abstract

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ActivityExplorer: A semi-supervised approach to discover unknown activity classes in HAR systems

Cited by 1 publication

References 40 publications

Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review

Application of Smart Insoles for Recognition of Activities of Daily Living: A Systematic Review

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