Benchmarking Encoders and Self-Supervised Learning for Smartphone-Based Human Activity Recognition

Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To address label scarcity, Self-Supervised Learning (SSL) exploits unlabeled data. However, existing benchmarks eval...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Gustavo P. C. P. Da Luz, Darlinne H. P. Soto, Otavio O. Napoli, Anderson Rocha, Levy Boccato, Edson Borin
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	IEEE 2026-01-01
Цуврал:	IEEE Access
Нөхцлүүд:	Deep learning human activity recognition (HAR) representation learning self-supervised learning (SSL)
Онлайн хандалт:	https://ieeexplore.ieee.org/document/11417778/
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!