• Sethi D, Sharma D, Gupta K and Srivastava G. (2024). SAGA: Stability-Aware Gait Analysis in constraint-free environments. Gait & Posture. 10.1016/j.gaitpost.2024.06.010. 113. (215-223). Online publication date: 1-Sep-2024.

    https://linkinghub.elsevier.com/retrieve/pii/S0966636224001954

  • Mazurek K, Barnard L, Botha H, Christianson T, Graff-Radford J, Petersen R, Vemuri P, Windham B, Jones D and Ali F. (2024). A validation study demonstrating portable motion capture cameras accurately characterize gait metrics when compared to a pressure-sensitive walkway. Scientific Reports. 10.1038/s41598-024-68402-x. 14:1.

    https://www.nature.com/articles/s41598-024-68402-x

  • Jassim M, Abd D and Omri M. (2024). Machine learning-based opinion extraction approach from movie reviews for sentiment analysis. Multimedia Tools and Applications. 10.1007/s11042-024-19821-5.

    https://link.springer.com/10.1007/s11042-024-19821-5

  • de Souza Cardoso L, Schwandt T and Broll W. (2024). μPose: Synthetic Dataset for Human Pose Estimation in Microgravity Environments 2024 IEEE Conference on Artificial Intelligence (CAI). 10.1109/CAI59869.2024.00282. 979-8-3503-5409-6. (1557-1562).

    https://ieeexplore.ieee.org/document/10605497/

  • P. S and Udgata S. (2024). Wi-Fi sensing based person identification and activity recognition using two-phase deep learning model. Engineering Applications of Artificial Intelligence. 132:C. Online publication date: 1-Jun-2024.

    https://doi.org/10.1016/j.engappai.2024.107904

  • Ray A and Kolekar M. (2024). Transfer learning and its extensive appositeness in human activity recognition: A survey. Expert Systems with Applications. 10.1016/j.eswa.2023.122538. 240. (122538). Online publication date: 1-Apr-2024.

    https://linkinghub.elsevier.com/retrieve/pii/S0957417423030403

  • Yang J and Park K. (2024). Improving Gait Analysis Techniques with Markerless Pose Estimation Based on Smartphone Location. Bioengineering. 10.3390/bioengineering11020141. 11:2. (141).

    https://www.mdpi.com/2306-5354/11/2/141

  • Wang C, Gao Y, Li Y and Zhang M. GaitParse: Gait Parsing Algorithm with Self-Supervised Fine-Tuning for Gait Recognition. Proceedings of the 2023 9th International Conference on Communication and Information Processing. (85-92).

    https://doi.org/10.1145/3638884.3638897

  • Li J, Chen L, Li M, Wu M, Pedrycz W and Hirota K. (2023). Skeleton-Based Multi-Stream Adaptive Graph Convolutional Network for Indoor Scene Action Recognition 2023 China Automation Congress (CAC). 10.1109/CAC59555.2023.10451388. 979-8-3503-0375-9. (6103-6108).

    https://ieeexplore.ieee.org/document/10451388/

  • Samkari E, Arif M, Alghamdi M and Al Ghamdi M. (2023). Human Pose Estimation Using Deep Learning: A Systematic Literature Review. Machine Learning and Knowledge Extraction. 10.3390/make5040081. 5:4. (1612-1659).

    https://www.mdpi.com/2504-4990/5/4/81

  • Wei S and Wu Z. (2023). The Application of Wearable Sensors and Machine Learning Algorithms in Rehabilitation Training: A Systematic Review. Sensors. 10.3390/s23187667. 23:18. (7667).

    https://www.mdpi.com/1424-8220/23/18/7667

  • Kim S, Park S, Lee S, Seo S, Kim H, Cha Y, Kim J, Kim J, Ha Y and Yoo J. (2023). Assessing physical abilities of sarcopenia patients using gait analysis and smart insole for development of digital biomarker. Scientific Reports. 10.1038/s41598-023-37794-7. 13:1.

    https://www.nature.com/articles/s41598-023-37794-7

  • Topham L, Khan W, Al-Jumeily D, Waraich A and Hussain A. (2023). A diverse and multi-modal gait dataset of indoor and outdoor walks acquired using multiple cameras and sensors. Scientific Data. 10.1038/s41597-023-02161-8. 10:1.

    https://www.nature.com/articles/s41597-023-02161-8

  • Zhang L, Zhao L and Yan Y. (2023). A hybrid neural network-based intelligent body posture estimation system in sports scenes. Mathematical Biosciences and Engineering. 10.3934/mbe.2024042. 21:1. (1017-1037).

    http://www.aimspress.com/article/doi/10.3934/mbe.2024042

  • Qu Y and Wang X. (2022). Walking Posture Classification via Acoustic Analysis and Convolutional Neural Network 2022 Human-Centered Cognitive Systems (HCCS). 10.1109/HCCS55241.2022.10090383. 978-1-6654-5041-6. (1-6).

    https://ieeexplore.ieee.org/document/10090383/

  • Kleanthous N, Hussain A, Khan W, Sneddon J and Liatsis P. (2022). Deep transfer learning in sheep activity recognition using accelerometer data. Expert Systems with Applications: An International Journal. 207:C. Online publication date: 30-Nov-2022.

    https://doi.org/10.1016/j.eswa.2022.117925

  • Topham L, Khan W, Al-Jumeily D, Waraich A and Hussain A. Gait Identification Using Limb Joint Movement and Deep Machine Learning. IEEE Access. 10.1109/ACCESS.2022.3207836. 10. (100113-100127).

    https://ieeexplore.ieee.org/document/9895247/