[HTML][HTML] Deep convolutional neural network with rnns for complex activity recognition using wrist-worn wearable sensor data

S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - mdpi.com
Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …

Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data.

S Mekruksavanich, A Jitpattanakul - Electronics (2079-9292), 2021 - search.ebscohost.com
Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …

Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data

S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - search.proquest.com
Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …

[PDF][PDF] Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data. Electronics 2021, 10, 1685

S Mekruksavanich, A Jitpattanakul - 2021 - pdfs.semanticscholar.org
Sensor-based human activity recognition (S-HAR) has become an important and highimpact
topic of research within human-centered computing. In the last decade, successful …

Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data

S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - cir.nii.ac.jp
抄録< jats: p> Sensor-based human activity recognition (S-HAR) has become an important
and high-impact topic of research within human-centered computing. In the last decade …