Improving IMU based human activity recognition using simulated multimodal representations and a MoE classifier

The lack of labeled sensor data for Human Activity Recognition (HAR) has driven researchers to synthesize Inertial Measurement Unit (IMU) data from video, utilizing the rich activity annotations available in video datasets. However, current synthetic IMU data often struggles to capture subtle, fine-...

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Xehetasun bibliografikoak

Egile Nagusiak:	Lala Shakti Swarup Ray, Qingxin Xia, Vitor Fortes Rey, Kaishun Wu, Paul Lukowicz
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2025-08-01
Saila:	Frontiers in Computer Science
Gaiak:	HAR sensor simulation multi-modal learning pretraining MoE classifier
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fcomp.2025.1569205/full
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!