most citedRepresentation Learning for Wearable-Based Applications in the Case of Missing Data

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

collaborators

2 papers

cs.LG2025★ 1 cited

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors

Dario Fenoglio, Mohan Li, Davide Casnici +5

Human Activity Recognition (HAR) benefits various application domains, including health and elderly care. Traditional HAR involves constructing pipelines reliant on centralized use…

eess.SP2024★ 2 cited

Representation Learning for Wearable-Based Applications in the Case of Missing Data

Janosch Jungo, Yutong Xiang, Shkurta Gashi +1

Wearable devices continuously collect sensor data and use it to infer an individual's behavior, such as sleep, physical activity, and emotions. Despite the significant interest and…