most citedAttend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors

2 citations · 4 across the 3 of their papers we have counts for

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eess.SP2020

Towards Deep Clustering of Human Activities from Wearables

Alireza Abedin, Farbod Motlagh, Qinfeng Shi +2

Our ability to exploit low-cost wearable sensing modalities for critical human behaviour and activity monitoring applications in health and wellness is reliant on supervised learni…