A systematic review of smartphone-based human activity recognition methods for health research
Smartphones are now nearly ubiquitous; their numerous built-in sensors enable continuous
measurement of activities of daily living, making them especially well-suited for health …
measurement of activities of daily living, making them especially well-suited for health …
A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
Human activity recognition (HAR) has become a significant area of research in human
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …
behavior analysis, human–computer interaction, and pervasive computing. Recently, deep …
A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects
G Bhola, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
With the advent of technology, we are getting more comfortable with the use of gadgets,
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …
iSPLInception: an inception-ResNet deep learning architecture for human activity recognition
Advances in deep learning (DL) model design have pushed the boundaries of the areas in
which it can be applied. The fields with an immense availability of complex big data have …
which it can be applied. The fields with an immense availability of complex big data have …
Shallow convolutional neural networks for human activity recognition using wearable sensors
Due to rapid development of sensor technology, human activity recognition (HAR) using
wearable inertial sensors has recently become a new research hotspot. Deep learning …
wearable inertial sensors has recently become a new research hotspot. Deep learning …
Deep neural networks for sensor-based human activity recognition using selective kernel convolution
Recently, the state-of-the-art performance in various sensor-based human activity
recognition (HAR) tasks has been acquired by deep learning, which can extract …
recognition (HAR) tasks has been acquired by deep learning, which can extract …
ST-DeepHAR: Deep learning model for human activity recognition in IoHT applications
M Abdel-Basset, H Hawash… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …
smart home systems and smart healthcare applications. Specifically, HAR is of great …
Deep residual network for smartwatch-based user identification through complex hand movements
S Mekruksavanich, A Jitpattanakul - Sensors, 2022 - mdpi.com
Wearable technology has advanced significantly and is now used in various entertainment
and business contexts. Authentication methods could be trustworthy, transparent, and non …
and business contexts. Authentication methods could be trustworthy, transparent, and non …
A multichannel CNN-GRU model for human activity recognition
L Lu, C Zhang, K Cao, T Deng, Q Yang - IEEE Access, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is one of the important research areas in pervasive
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …
computing. Among HAR, sensor-based activity recognition refers to acquiring a high-level …
Deformable convolutional networks for multimodal human activity recognition using wearable sensors
Recent years have witnessed significant success of convolutional neural networks (CNNs)
in human activity recognition (HAR) using wearable sensors. Nevertheless, prior works have …
in human activity recognition (HAR) using wearable sensors. Nevertheless, prior works have …