HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time–frequency representation
Human activity recognition (HAR) based on wearable devices has progressively advanced
in context-aware computing like healthcare, smart homes, and industry 4.0. Since machine …
in context-aware computing like healthcare, smart homes, and industry 4.0. Since machine …
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 …
TCN-Inception: Temporal Convolutional Network and Inception modules for sensor-based human activity recognition
MAA Al-qaness, A Dahou, NT Trouba… - Future Generation …, 2024 - Elsevier
Abstract The field of Human Activity Recognition (HAR) has experienced a significant surge
in interest due to its essential role across numerous areas, including human–computer …
in interest due to its essential role across numerous areas, including human–computer …
Ultanet: An antithesis neural network for recognizing human activity using inertial sensors signals
HA Imran - IEEE Sensors Letters, 2022 - ieeexplore.ieee.org
Human activity recognition (HAR) is an essential component of ambient assistive living. HAR
has traditionally relied on computer vision techniques. However, it has several drawbacks …
has traditionally relied on computer vision techniques. However, it has several drawbacks …
HAR-DeepConvLG: Hybrid deep learning-based model for human activity recognition in IoT applications
W Ding, M Abdel-Basset, R Mohamed - Information Sciences, 2023 - Elsevier
Smartphones and wearable devices have built-in sensors that can collect multivariant time-
series data that can be used to recognize human activities. Research on human activity …
series data that can be used to recognize human activities. Research on human activity …
IF-ConvTransformer: A framework for human activity recognition using IMU fusion and ConvTransformer
Y Zhang, L Wang, H Chen, A Tian, S Zhou… - Proceedings of the ACM …, 2022 - dl.acm.org
Recent advances in sensor based human activity recognition (HAR) have exploited deep
hybrid networks to improve the performance. These hybrid models combine Convolutional …
hybrid networks to improve the performance. These hybrid models combine Convolutional …
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
Deep Wavelet Convolutional Neural Networks for Multimodal Human Activity Recognition Using Wearable Inertial Sensors
Recent advances in wearable systems have made inertial sensors, such as accelerometers
and gyroscopes, compact, lightweight, multimodal, low-cost, and highly accurate. Wearable …
and gyroscopes, compact, lightweight, multimodal, low-cost, and highly accurate. Wearable …
1D convolutional neural network with long short-term memory for human activity recognition
Human activity recognition aims to determine the actions or behavior of a person based on
the time series data. In recent year, more large human activity recognition datasets are …
the time series data. In recent year, more large human activity recognition datasets are …
Human activity recognition with smartphone sensors using deep learning neural networks
CA Ronao, SB Cho - Expert systems with applications, 2016 - Elsevier
Human activities are inherently translation invariant and hierarchical. Human activity
recognition (HAR), a field that has garnered a lot of attention in recent years due to its high …
recognition (HAR), a field that has garnered a lot of attention in recent years due to its high …