Related references
Note: Only part of the references are listed.DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors
Wenbin Gao et al.
APPLIED SOFT COMPUTING (2021)
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
Sakorn Mekruksavanich et al.
SENSORS (2021)
ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications
Mohamed Abdel-Basset et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning
Ohoud Nafea et al.
SENSORS (2021)
Attention-Based Deep Learning Framework for Human Activity Recognition With User Adaptation
Davide Buffelli et al.
IEEE SENSORS JOURNAL (2021)
iSPLInception: An Inception-ResNet Deep Learning Architecture for Human Activity Recognition
Mutegeki Ronald et al.
IEEE ACCESS (2021)
Deep Learning Models for Real-time Human Activity Recognition with Smartphones
Shaohua Wan et al.
MOBILE NETWORKS & APPLICATIONS (2020)
A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention
Haoxi Zhang et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
Daniel Garcia-Gonzalez et al.
SENSORS (2020)
An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare
William Taylor et al.
SENSORS (2020)
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
Xiaokang Zhou et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition
Saedeh Abbaspour et al.
SENSORS (2020)
LSTM-CNN Architecture for Human Activity Recognition
Kun Xia et al.
IEEE ACCESS (2020)
Mobile sensor based human activity recognition: distinguishing of challenging activities by applying long short-term memory deep learning modified by residual network concept
Seyed Vahab Shojaedini et al.
BIOMEDICAL ENGINEERING LETTERS (2020)
Advanced Sensing and Human Activity Recognition in Early Intervention and Rehabilitation of Elderly People
Lisa Schrader et al.
JOURNAL OF POPULATION AGEING (2020)
Human activity recognition using 2D skeleton data and supervised machine learning
Sumaira Ghazal et al.
IET IMAGE PROCESSING (2019)
A Fast and Robust Deep Convolutional Neural Networks for Complex Human Activity Recognition Using Smartphone
Wen Qi et al.
SENSORS (2019)
InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
Cheng Xu et al.
IEEE ACCESS (2019)
Robust Human Activity Recognition Using Multimodel Feature-Level Fusion
Muhammad Ehatisham-Ul-Haq et al.
IEEE ACCESS (2019)
A robust human activity recognition system using smartphone sensors and deep learning
Mohammed Mehedi Hassan et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Francisco Javier Ordonez et al.
SENSORS (2016)