Multi-input CNN-GRU based human activity recognition using wearable sensors

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Feature Fusion of a Deep-Learning Algorithm into Wearable Sensor Devices for Human Activity Recognition

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Attention Mechanism-Based Bidirectional Long Short-Term Memory for Cycling Activity Recognition Using Smartphones

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Artificial Butterfly Optimizer Based Two-Layer Convolutional Neural Network with Polarized Attention Mechanism for Human Activity Recognition

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Stretchable, ultralow detection limit and anti-interference hydrogel strain sensor for intelligent throat speech recognition using Resnet50 neural network

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STA‐HAR: A Spatiotemporal Attention‐Based Framework for Human Activity Recognition

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Revolutionizing health monitoring: Integrating transformer models with multi-head attention for precise human activity recognition using wearable devices

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Efficient and Explainable Human Activity Recognition Using Deep Residual Network with Squeeze-and-Excitation Mechanism

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Deep SE-BiLSTM with IFPOA Fine-Tuning for Human Activity Recognition Using Mobile and Wearable Sensors

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Human Gait Analysis and Activity Recognition: A Review

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Exploring Trends and Clusters in Human Posture Recognition Research: An Analysis Using CiteSpace

Yan, L., & Du, Y. R. (2025) · Sensors · doi:10.3390/s25030632 · Cited by 18

Proposing a Fuzzy Soft‐max‐based classifier in a hybrid deep learning architecture for human activity recognition

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Comparing Cross-Subject Performance on Human Activities Recognition Using Learning Models

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Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data

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Robust Human Activity Recognition via Wearable Sensors Using Dynamic Gaussian Kernel Learning

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Hybrid Algorithm for Dynamic Fault Prediction of HVDC Converter Transformer Using DGA Data

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Computer-aided resilience: Advanced techniques for disaster management in smart urban environments

Li, R., Di, Y., & Tian, H. (2024) · Sustainable Cities and Society · doi:10.1016/j.scs.2024.105437 · Cited by 15

Multimodal Human Activity Recognition for Smart Healthcare Applications

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Privacy-Preserving Offloading in Edge Intelligence Systems With Inductive Learning and Local Differential Privacy

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Human Activity Recognition Method Based on Edge Computing-Assisted and GRU Deep Learning Network

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STFNet: Enhanced and Lightweight Spatiotemporal Fusion Network for Wearable Human Activity Recognition

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Few-shot transfer learning for wearable IMU-based human activity recognition

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Enhancing Human Action Recognition with Adaptive Hybrid Deep Attentive Networks and Archerfish Optimization

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Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks

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Towards a low-cost and privacy-preserving indoor activity recognition system using wifi channel state information

Boudlal, H., Serrhini, M., & Tahiri, A. (2025) · Multimedia Tools and Applications · doi:10.1007/s11042-025-20650-3 · Cited by 13

A Multi-Input Machine Learning Approach to Classifying Sex Trafficking from Online Escort Advertisements

Summers, L., Shallenberger, A. N., Cruz, J., & Fulton, L. V. (2023) · Machine Learning and Knowledge Extraction · doi:10.21428/cb6ab371.d91fdf51 · Cited by 13

A Convolved Self-Attention Model for IMU-based Gait Detection and Human Activity Recognition

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A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors

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A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data

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Advanced human activity recognition on wearables with multi-scale sparse attention

Muniasamy, A., & Asiri, F. (2025) · Multimedia Tools and Applications · doi:10.1007/s11042-024-20475-6 · Cited by 13

Statistical Database of Human Motion Recognition Using Wearable IoT—A Review

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Beyond visual range maneuver intention recognition based on attention enhanced tuna swarm optimization parallel BiGRU

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Human behavior recognition based on sparse transformer with channel attention mechanism

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MicroNAS for memory and latency constrained hardware aware neural architecture search in time series classification on microcontrollers

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Rep-LOM: Multibranch Linear Operation Module With DFC Attention for Sensor-Based Human Activity Recognition

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Human activity recognition from uav videos using an optimized hybrid deep learning model

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A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning

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Machine learning and deep learning models for human activity recognition in security and surveillance: a review

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Deep CNN-GRU Based Human Activity Recognition with Automatic Feature Extraction Using Smartphone and Wearable Sensors

Khatun, M. A., Yousuf, M., & Moni, M. A. (2023) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce57851.2023.10101550 · Cited by 12

MAG-Res2Net: a novel deep learning network for human activity recognition

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The Power of ANN-Random Forest Algorithm in Human Activities Recognition Using IMU Data

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Implementation of a Human Activity Monitoring System through IoT Sensor and Blynk Cloud Platform

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RecurrentHAR: A Novel Transfer Learning-Based Deep Learning Model for Sequential, Complex, Concurrent, Interleaved, and Heterogeneous Type Human Activity Recognition

Kumar, P., & Suresh, S. (2022) · IETE Technical Review · doi:10.1080/02564602.2022.2101557 · Cited by 15

A hybrid LSTM CNN model with efficient channel attention for enhanced human activity recognition using wearable sensors

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Short-term PV power prediction based on VMD-CNN-IPSO-LSSVM hybrid model

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Enhanced Aiot Multi‐Modal Fusion for Human Activity Recognition in Ambient Assisted Living Environment

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Incorporating image representation and texture feature for sensor-based gymnastics activity recognition

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Enhanced human lower-limb motion recognition using flexible sensor array and relative position image

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Data Integration Based Human Activity Recognition using Deep Learning Models

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Activity Recognition Using Different Sensor Modalities and Deep Learning

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Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition

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A Method of Self-Supervised Denoising and Classification for Sensor-Based Human Activity Recognition

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A smartphone-based human activities recognition using novel multi-stream movelets on fusion of accelerometer and gyroscope data and classification using different distance metrics

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Wi-Fi CSI-Based Human Activity Recognition and Indoor Localization With Sampling Irregularity Mitigation

Lee, J., & Toh, K. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3602515 · Cited by 10

Human Activity Recognition by the Image Type Encoding Method of 3-Axial Sensor Data

Kim, C., & Lee, W. (2023) · Applied Sciences · doi:10.3390/app13084961 · Cited by 9

Multivariate CNN Model for Human Locomotion Activity Recognition with a Wearable Exoskeleton Robot

Son, C.-S., & Kang, W. (2023) · Bioengineering · doi:10.3390/bioengineering10091082 · Cited by 10

Efficient Human Gait Activity Recognition Based on Sensor Fusion and Intelligent Stacking Framework

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Lightweight human activity recognition method based on the MobileHARC model

Gong, X., Zhang, X., & Li, N. (2024) · Systems Science & Control Engineering · doi:10.1080/21642583.2024.2328549 · Cited by 10

Pedestrian Navigation Activity Recognition Based on Segmentation Transformer

Wang, Q., Tao, Z., Ning, J., Jiang, Z., Guo, L., Luo, H., Wang, H., Men, A., Cheng, X., & Zhang, Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3394050 · Cited by 9

Improving Human Activity Recognition in Smart Healthcare with Ensemble Deep Learning

Soni, V., Yadav, H., Semwal, V. B., & Tripathi, S. (2024) · IETE Journal of Research · doi:10.1080/03772063.2024.2434579 · Cited by 9

Enhanced Prediction Model for Human Activity Using an End-to-End Approach

Park, S., Lee, H. O., Hwang, Y. M., Ko, S., & Lee, B. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3223674 · Cited by 9

Enhancing lifestyle and health monitoring of elderly populations using CSA-TkELM classifier

Rosaline, R. A. A., Ponnuviji, N. P., Subbu Lakshmi, T. C., & Gulati, M. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110758 · Cited by 9

Hybrid deep learning model-based human action recognition in indoor environment

Sain, M. K., Laskar, R. H., Singha, J., & Saini, S. (2023) · Robotica · doi:10.1017/s0263574723001327 · Cited by 9

Segmentation and Recognition Model for Complex Action Sequences

Geng, H., Huan, Z., Liang, J., Hou, Z., Lv, S., & Wang, Y. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3144157 · Cited by 9

Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition

Barua, A., Fuller, D., Musa, S. B., & Jiang, X. (2022) · Biosensors · doi:10.3390/bios12070549 · Cited by 9

Human Action Recognition Based on Hierarchical Multi-Scale Adaptive Conv-Long Short-Term Memory Network

Huang, Q., Xie, W., Li, C., Wang, Y., & Liu, Y. (2023) · Applied Sciences · doi:10.3390/app131910560 · Cited by 8

A Machine Learning-Based Online Human Motion Recognition System With Multiple Classifier for Exoskeleton

Yan, L., Xiu, H., & Wei, Y. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3327723 · Cited by 8

A hybrid TCN-GRU model for classifying human activities using smartphone inertial signals

Sekaran, S. R., Pang, Y. H., You, L. Z., & Yin, O. S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0304655 · Cited by 8

A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance

Khatun, M. A., Yousuf, M. A., Turna, T. N., Azad, A., Alyami, S. A., & Moni, M. A. (2025) · Diagnostics · doi:10.3390/diagnostics15050537 · Cited by 13

Hybrid Feature Extraction and Knowledge Distillation Based Deep Learning Model for Human Activity Recognition System

Shah, H., & Holia, M. S. (2025) · Signal Processing Image Communication · doi:10.1016/j.image.2025.117308 · Cited by 8

A Multidimensional Feature Extraction and Fusion Framework Based on Aggregation and Temporal Adaptation for Human Activity Recognition

Zeng, J., Xu, H., Zheng, H., Xu, Y., Li, Y., & Li, D. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3595188 · Cited by 8

SMOTE-Enhanced CNN-Bi-LSTM for wearable sensor-based human activity recognition

Arafa, A., Harfoush, H., El-Fishawy, N. A., & Radad, M. A. (2026) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2026.102161 · Cited by 8

A COMBINED COLOR AND WAVE-BASED APPROACH TO SATELLITE DERIVED BATHYMETRY USING DEEP LEARNING

Najar, M. A., Bennioui, Y. E., Thoumyre, G., Almar, R., Bergsma, E. W. J., Benshila, R., Delvit, J.-M., & Wilson, D. G. (2022) · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-archives-xliii-b3-2022-9-2022 · Cited by 8

Investigating (re)current state-of-the-art in human activity recognition datasets

Bock, M., Hoelzemann, A., Moeller, M., & Laerhoven, K. V. (2022) · Frontiers in Computer Science · doi:10.3389/fcomp.2022.924954 · Cited by 8

Human Activity and Correlated Posture Monitoring Using Earlobe-Worn Wearable Sensor System and Deep Learning Algorithm

Han, H., Kim, G., Choi, S., Basu, A. S., & Yoon, S. W. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3332897 · Cited by 9

A Human Activity Recognition Scheme Using Mobile Smartphones Based on Varying Orientations and Positions

Zhang, K., Wang, Q., Meng, X., & Wang, J. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3380076 · Cited by 8

Proposing a cross-correlational-gated recurrent unit neural network for engine block assembly action recognition

Giveki, D. (2024) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-024-02518-9 · Cited by 8

Single Input Single Head CNN-GRU-LSTM Architecture for Recognition of Human Activities

Verma, U., Tyagi, P., & Kaur, M. (2022) · Indonesian Journal of Electrical Engineering and Informatics (IJEEI) · doi:10.52549/ijeei.v10i2.3475 · Cited by 8

Receptivity to mobile health interventions

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Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals

Nazari, F., Nahavandi, D., Mohajer, N., & Khosravi, A. (2022) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53654.2022.9945472 · Cited by 8

Human Activity Recognition Based on a Modified Capsule Network

Zhu, S., Chen, W., Liu, F., Zhang, X., & Han, X. (2023) · Mobile Information Systems · doi:10.1155/2023/8273546 · Cited by 8

Egocentric Vision Action Recognition: Performance Analysis on the Coer_Egovision Dataset

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LSTM-CNN Architecture for Construction Activity Recognition Using Optimal Positioning of Wearables

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Efficient FPGA Implementation of Multiplication Operations in Artificial Neural Networks for Human Activity Recognition

Kiani, M., Shafaghi, H., Ghalati, A. G., & Moaiyeri, M. H. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3568970 · Cited by 7

A survey for wearable sensors empowering smart healthcare in the era of large language models

Liu, Y., Li, J., Lian, C., Zhang, X., Gong, J., Wang, Y., & Zhao, Y. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103409 · Cited by 8

A lightweight deep learning with feature weighting for activity recognition

Ige, A. O., & Noor, M. H. M. (2022) · Computational Intelligence · doi:10.1111/coin.12565 · Cited by 8

Human activity recognition based on integration of multilayer information of convolutional neural network architecture

Kushwaha, A., Srivastava, P., & Khare, A. (2022) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.7571 · Cited by 7

Motion Signal-based Recognition of Human Activity from Video Stream Dataset Using Deep Learning Approach

Yadav, R. K., Arockiam, D., & Semwal, V. B. (2024) · Recent Advances in Computer Science and Communications · doi:10.2174/0126662558278156231231063935 · Cited by 7

A novel hybrid strategy based on Swarm and Heterogeneous Federated Learning using model credibility awareness for activity recognition in cross-silo multistorey building

Jamil, H., Khan, M. A., & Jamil, F. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109126 · Cited by 7

Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models

Chuquimarca, L. E., Vintimilla, B. X., & Velastín, S. A. (2024) · International Conference on Pattern Recognition Systems (ICPRS) · doi:10.1109/icprs62101.2024.10677833 · Cited by 7

Deep CNN-GRU Based Human Activity Recognition with Automatic Feature Extraction Using Smartphone and Wearable Sensors

Khatun, M. A., Yousuf, M., & Moni, M. A. (2023) · International Conference on Electrical, Computer and Communication Engineering · doi:10.1109/ecce57851.2023.10101550 · Cited by 12

Single Input-Based CNN-LSTM and CNN-GRU Based HAR Using Wearable SensorsPreprint

Bhardwaj, K., Aryan, A., & Yadav, R. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4159485

Single Input Single Head CNN-GRU-LSTM Architecture for Recognition of Human Activities

Verma, U., Tyagi, P., & Kaur, M. (2022) · Indonesian Journal of Electrical Engineering and Informatics (IJEEI) · doi:10.52549/ijeei.v10i2.3475 · Cited by 8

Multi-sensor human activity recognition using CNN and GRU

Nafea, O., Abdul, W., & Muhammad, G. (2022) · International Journal of Multimedia Information Retrieval · doi:10.1007/s13735-022-00234-9 · Cited by 36

Deep learning based human activity recognition (HAR) using wearable sensor data

Gupta, S. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2021.100046 · Cited by 225