Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

MA Khatun, MA Yousuf, S Ahmed… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

[引用][C] Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

MA Khatun, MA Yousuf, S Ahmed, MZ Uddin… - IEEE Journal of …, 2022 - cir.nii.ac.jp
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable
Sensor | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索 …

Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

MA Khatun, MA Yousuf, S Ahmed… - IEEE Journal of …, 2022 - researchoutput.csu.edu.au
Abstract Human Activity Recognition (HAR) systems are devised for continuously observing
human behavior-primarily in the fields of environmental compatibility, sports injury detection …

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.

MA Khatun, MA Yousuf, S Ahmed… - IEEE Journal of …, 2022 - europepmc.org
Abstract Human Activity Recognition (HAR) systems are devised for continuously observing
human behavior-primarily in the fields of environmental compatibility, sports injury detection …

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

MA Khatun, MA Yousuf, S Ahmed… - IEEE journal of …, 2022 - pubmed.ncbi.nlm.nih.gov
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

M Khatun, MA Yousuf, S Ahmed, MZ Uddin, SA Alyami… - 2022 - sintef.brage.unit.no
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

[HTML][HTML] Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

MA Khatun, MA Yousuf, S Ahmed… - IEEE Journal of …, 2022 - ncbi.nlm.nih.gov
Abstract Human Activity Recognition (HAR) systems are devised for continuously observing
human behavior-primarily in the fields of environmental compatibility, sports injury detection …

[引用][C] Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor

M Khatun, MA Yousuf, S Ahmed… - IEEE Journal of …, 2022 - espace.library.uq.edu.au
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …

[PDF][PDF] Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

MSTA KHATUN, MABU YOUSUF, SA ALYAMI… - 2022 - core.ac.uk
ABSTRACT Human Activity Recognition (HAR) systems are devised for continuously
observing human behavior-primarily in the fields of environmental compatibility, sports injury …

[PDF][PDF] Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

MSTA KHATUN, MABU YOUSUF, SA ALYAMI… - 2022 - pdfs.semanticscholar.org
ABSTRACT Human Activity Recognition (HAR) systems are devised for continuously
observing human behavior-primarily in the fields of environmental compatibility, sports injury …