A Lightweight Deep Residual Network for Recognizing Activities in Daily Living Using Channel State Information
S Mekruksavanich… - 2023 IEEE 14th …, 2023 - ieeexplore.ieee.org
The field of human activity recognition (HAR) focuses on predicting human motion and
actions by analyzing data from various sensors. HAR tasks can benefit from vision-based …
actions by analyzing data from various sensors. HAR tasks can benefit from vision-based …
Sub-transfer Learning in Human Activity Recognition: Boosting the Outlier User Accuracy
Human activity recognition (HAR) has become one of the most active areas of sensory
healthcare research due to its potential to improve the quality of life both for patients in …
healthcare research due to its potential to improve the quality of life both for patients in …
Pengenalan Aktivitas Manusia Dalam Ruangan Dengan Convolutional Neural Networks
M Augustine, R Stephen, L Salim - Teknika, 2024 - ejournal.ikado.ac.id
Kemajuan teknologi yang telah berkembang sangat pesat dapat membantu pekerjaan
manusia dalam berbagai bidang. Salah satu kegiatan yang dapat diotomatisasi adalah …
manusia dalam berbagai bidang. Salah satu kegiatan yang dapat diotomatisasi adalah …
Deep Learning and Feature Engineering for Human Activity Recognition: Exploiting Novel Rich Learning Representations and Sub-transfer Learning to Boost …
R Kanjilal - 2022 - search.proquest.com
A significant gap exists in our knowledge of how domain-specific feature extraction
compares to unsupervised feature learning in the latent space of a deep neural network for a …
compares to unsupervised feature learning in the latent space of a deep neural network for a …