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Published June 4, 2024 | Version v1
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INSON TANASI HARAKATLARINI TAHLIL QILISHDA ZAMONAVIY MODELLAR VA ALGORITMLARNI QO'LLASHNI O'RGANISH

  • 1. Mirzo Ulug'bek nomidagi O'zbekiston Milliy universitetining Jizzax filiali tayanch doktoranti

Description

Inson harakatini tahlil qilish - bu inson tanasining harakatini o'rganish va tushunishni o'z ichiga olgan modellar qurishdir. U sport, sog'liqni saqlash, robototexnika va animatsiya kabi turli sohalarni rivojlantirish uchun xizmat qiladi. Inson harakatini tahlil qilish orqali biz biomexanika bo'yicha qimmatli tushunchalarga ega bo'lishimiz, ish faoliyatini yaxshilashimiz, anormalliklarni aniqlashimiz mumkin. Ushbu maqolada biz inson harakatini tahlil qilishda ishlatiladigan turli modellar va algoritmlarni ko'rib chiqamiz

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References

  • Liangchen Song, Gang Yu, Junsong Yuan, Zicheng Liu "Human pose estimation and its application to action recognition: A survey". Journal of Visual Communication and Image Representation Volume 76, April 2021
  • Zhaozong Meng, Mingxing Zhang, Changxin Guo, Qirui Fan, Hao Zhang, Nan Gao, Zonghua Zhang "Recent Progress in Sensing and Computing Techniques for Human Activity Recognition and Motion Analysis". Electronics 2020
  • Hao, Z., Niu, J., Dang, X., and Qiao, Z. (2022). WiPg: contactless action recognition using ambient wi-fi signals. Sensors. 22, 402. doi: 10.3390/s22010402
  • Dong, B., Zhang, Z., Shi, Q., Wei, J., Ma, Y., and Xiao, Z. (2022). Biometrics-protected optical communication enabled by deep learning–enhanced triboelectric/photonic synergistic interface. Sci. Adv. 8, eabl9874. doi: 10.1126/sciadv.abl9874
  • Kang, S., Jang, M., and Lee, S. (2021). Identification of human motion using radar sensor in an indoor environment. Sensors. 21, 2305. doi: 10.3390/s21072305
  • Sedmidubsky, J., Elias, P., Budikova, P., and Zezula, P. (2021). Content-based management of human motion data: survey and challenges. IEEE Access. 9, 64241–64255. doi: 10.1109/ACCESS.2021.3075766
  • Sarma, M. S., Deb, K., Dhar, P. K., and Koshiba, T. (2021). Traditional Bangladeshi sports video classification using deep learning method. Appl. Sci. 11, 2149. doi: 10.3390/app11052149
  • Liu, Y., and Ji, Y. (2021). Target recognition of sport athletes based on deep learning and convolutional neural network. J. Intellig. Fuzzy Syst. 40, 2253–2263. doi: 10.3233/JIFS-189223
  • S. Kettebekov, R. Sharma. "Understanding gestures in multimodal human computer interaction". International Journal on Artificial Intelligence ToolsVol. 09, No. 02, pp. 205-223 (2000)
  • G. Panahandeh, N. Mohammadiha, A. Leijon and P. Händel, "Continuous Hidden Markov Model for Pedestrian Activity Classification and Gait Analysis," in IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 5, pp. 1073-1083, May 2013, doi: 10.1109/TIM.2012.2236792
  • Behrooz Mahasseni, Sinisa Todorovic. "Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition". Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 3054-3062
  • Imed Bouchrika, Mark S. Nixon. "Model-Based Feature Extraction for Gait Analysis and Recognition" Computer Vision/Computer Graphics Collaboration Techniques, 2007, Volume 4418. ISBN : 978-3-540-71456-9
  • Lorena Gril, Philipp Wedenig, Chris Torkar, Ulrike Kleb. "A Tensor-based Regression Approach for Human Motion Prediction". Special Issue:THE ENBIS‐21 QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL. Volume39, Issue2. March 2023. Pages 481-499
  • KURBANOV A.A. Multimodal emotion recognition: a comprehensive survey with deep learning. Journal of Research and Innovation, pp. 43-47. 2023
  • Kurbanov Abdurahmon Alishboyevich. A Methodological Approach to Understanding Emotional States Using Textual Data. Journal of Universal Science Research. 2023
  • Kurbanov Abdurahmon. AI MODELS OF AFFECTIVE COMPUTING. International Conference of Contemporary Scientific and Technical Research. 2023
  • Kurbanov Abdurahmon Alishboyevich. USING AFFECTIVE COMPUTING SYSTEMS IN MODERN EDUCATION. Journal Science and innovation. 2023
  • Kurbanov Abdurahmon Alishboyevich. Methods of evaluating a person's emotional state based on the analysis of textual data. Journal of actual problems of modern science, education and training, pp 32-40. 2023.