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Analysing the Contributing Factors to Activity Recognition with Loose Clothing

The integration of sensors into garments has paved the way for human activity recognition (AR), enabling users to engage in extended human motion recordings. The inherent fluidity of loose clothing allows it to mirror the wearer’s movements. From a statistical standpoint, clothing captures additiona...

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Bibliografische gegevens
Hoofdauteurs: Renad Allagani, Tianchen Shen, Matthew Howard
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-01-01
Reeks:Engineering Proceedings
Onderwerpen:
Online toegang:https://www.mdpi.com/2673-4591/52/1/10
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