Journal articles on the topic 'Complex activity recognition'
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Jalloul, Nahed, Fabienne Poree, Geoffrey Viardot, Phillipe L' Hostis, and Guy Carrault. "Activity Recognition Using Complex Network Analysis." IEEE Journal of Biomedical and Health Informatics 22, no. 4 (July 2018): 989–1000. http://dx.doi.org/10.1109/jbhi.2017.2762404.
Full textFusier, Florent, Valéry Valentin, François Brémond, Monique Thonnat, Mark Borg, David Thirde, and James Ferryman. "Video understanding for complex activity recognition." Machine Vision and Applications 18, no. 3-4 (February 13, 2007): 167–88. http://dx.doi.org/10.1007/s00138-006-0054-y.
Full textLi, Wei-Xin, and Nuno Vasconcelos. "Complex Activity Recognition Via Attribute Dynamics." International Journal of Computer Vision 122, no. 2 (June 21, 2016): 334–70. http://dx.doi.org/10.1007/s11263-016-0918-1.
Full textSaguna, Saguna, Arkady Zaslavsky, and Dipanjan Chakraborty. "Complex activity recognition using context-driven activity theory and activity signatures." ACM Transactions on Computer-Human Interaction 20, no. 6 (December 2013): 1–34. http://dx.doi.org/10.1145/2490832.
Full textMaradani, Lohitha. "Human Activity Recognition." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 1983–88. http://dx.doi.org/10.22214/ijraset.2022.45630.
Full textKashanian, Hooman, Saeed Sharif, and Ralf Akildyz. "Estimation of Walking rate in Complex activity recognition." International Journal of Computer Applications Technology and Research 5, no. 9 (September 4, 2016): 568–77. http://dx.doi.org/10.7753/ijcatr0509.1003.
Full textXia, Li-min, Xiao-ting Shi, and Hong-bin Tu. "An approach for complex activity recognition by key frames." Journal of Central South University 22, no. 9 (September 2015): 3450–57. http://dx.doi.org/10.1007/s11771-015-2885-z.
Full textOmolaja, Adebola, Abayomi Otebolaku, and Ali Alfoudi. "Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models." Applied Sciences 12, no. 18 (September 16, 2022): 9305. http://dx.doi.org/10.3390/app12189305.
Full textHuan, Ruohong, Chengxi Jiang, Luoqi Ge, Jia Shu, Ziwei Zhan, Peng Chen, Kaikai Chi, and Ronghua Liang. "Human Complex Activity Recognition With Sensor Data Using Multiple Features." IEEE Sensors Journal 22, no. 1 (January 1, 2022): 757–75. http://dx.doi.org/10.1109/jsen.2021.3130913.
Full textAtif Hanif, Muhammad, Tallha Akram, Aamir Shahzad, Muhammad Attique Khan, Usman Tariq, Jung-In Choi, Yunyoung Nam, and Zanib Zulfiqar. "Smart Devices Based Multisensory Approach for Complex Human Activity Recognition." Computers, Materials & Continua 70, no. 2 (2022): 3221–34. http://dx.doi.org/10.32604/cmc.2022.019815.
Full textXu, Cheng, Duo Chai, Jie He, Xiaotong Zhang, and Shihong Duan. "InnoHAR: A Deep Neural Network for Complex Human Activity Recognition." IEEE Access 7 (2019): 9893–902. http://dx.doi.org/10.1109/access.2018.2890675.
Full textPeng, Liangying, Ling Chen, Menghan Wu, and Gencai Chen. "Complex Activity Recognition Using Acceleration, Vital Sign, and Location Data." IEEE Transactions on Mobile Computing 18, no. 7 (July 1, 2019): 1488–98. http://dx.doi.org/10.1109/tmc.2018.2863292.
Full textMobark, Mohammed, Suriayati Chuprat, Teddy Mantoro, and Azizul Azizan. "Utilization of Mobile Phone Sensors for Complex Human Activity Recognition." Advanced Science Letters 23, no. 6 (June 1, 2017): 5466–71. http://dx.doi.org/10.1166/asl.2017.7401.
Full textFerber, G. "Syntactic Pattern Recognition of Intermittent EEG Activity." Methods of Information in Medicine 24, no. 02 (April 1985): 79–84. http://dx.doi.org/10.1055/s-0038-1635362.
Full textMekruksavanich, Sakorn, and Anuchit Jitpattanakul. "RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition." Mathematical Biosciences and Engineering 19, no. 6 (2022): 5671–98. http://dx.doi.org/10.3934/mbe.2022265.
Full textSanchez Guinea, Alejandro, Mehran Sarabchian, and Max Mühlhäuser. "Improving Wearable-Based Activity Recognition Using Image Representations." Sensors 22, no. 5 (February 25, 2022): 1840. http://dx.doi.org/10.3390/s22051840.
Full textDing, Xue, Chunlei Hu, Weiliang Xie, Yi Zhong, Jianfei Yang, and Ting Jiang. "Device-Free Multi-Location Human Activity Recognition Using Deep Complex Network." Sensors 22, no. 16 (August 18, 2022): 6178. http://dx.doi.org/10.3390/s22166178.
Full textSakr, Nehal A., Mervat Abu-ElKheir, A. Atwan, and H. H. Soliman. "A multilabel classification approach for complex human activities using a combination of emerging patterns and fuzzy sets." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (August 1, 2019): 2993. http://dx.doi.org/10.11591/ijece.v9i4.pp2993-3001.
Full textShahad, Rabiah Adawiyah, Mohamad Hanif Md Saad, and Aini Hussain. "Activity Recognition for Smart Building Application Using Complex Event Processing Approach." International Journal on Advanced Science, Engineering and Information Technology 8, no. 2 (March 31, 2018): 315. http://dx.doi.org/10.18517/ijaseit.8.2.2575.
Full textShoaib, Muhammad, Stephan Bosch, Ozlem Incel, Hans Scholten, and Paul Havinga. "Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors." Sensors 16, no. 4 (March 24, 2016): 426. http://dx.doi.org/10.3390/s16040426.
Full textMohamed, Raihani, Thinagaran Perumal, Md Nasir Sulaiman, and Norwati Mustapha. "Multi Resident Complex Activity Recognition in Smart Home: A Literature Review." International Journal of Smart Home 11, no. 6 (June 30, 2017): 21–32. http://dx.doi.org/10.14257/ijsh.2017.11.6.03.
Full textBharti, Pratool, Debraj De, Sriram Chellappan, and Sajal K. Das. "HuMAn: Complex Activity Recognition with Multi-Modal Multi-Positional Body Sensing." IEEE Transactions on Mobile Computing 18, no. 4 (April 1, 2019): 857–70. http://dx.doi.org/10.1109/tmc.2018.2841905.
Full textGuo, De Feng, Bin Liu, Xiao Tian Jin, and Hong Jian Liu. "Human Activity Recognition Using Smart-Phone Sensors." Applied Mechanics and Materials 571-572 (June 2014): 1019–29. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1019.
Full textZhang, Mingyuan, Shuo Chen, Xuefeng Zhao, and Zhen Yang. "Research on Construction Workers’ Activity Recognition Based on Smartphone." Sensors 18, no. 8 (August 14, 2018): 2667. http://dx.doi.org/10.3390/s18082667.
Full textMohammad, Mohammad, Randall D. York, Jonathan Hommel, and Geoffrey M. Kapler. "Characterization of a Novel Origin Recognition Complex-Like Complex: Implications for DNA Recognition, Cell Cycle Control, and Locus-Specific Gene Amplification." Molecular and Cellular Biology 23, no. 14 (July 15, 2003): 5005–17. http://dx.doi.org/10.1128/mcb.23.14.5005-5017.2003.
Full textRazzaq, Muhammad Asif, Ian Cleland, Chris Nugent, and Sungyoung Lee. "SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition." Sensors 20, no. 10 (May 13, 2020): 2771. http://dx.doi.org/10.3390/s20102771.
Full textYongmian Zhang, Yifan Zhang, E. Swears, N. Larios, Ziheng Wang, and Qiang Ji. "Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 10 (October 2013): 2468–83. http://dx.doi.org/10.1109/tpami.2013.33.
Full textVoulodimos, Athanasios, Dimitrios Kosmopoulos, Georgios Vasileiou, Emmanuel Sardis, Vasileios Anagnostopoulos, Constantinos Lalos, Anastasios Doulamis, and Theodora Varvarigou. "A Threefold Dataset for Activity and Workflow Recognition in Complex Industrial Environments." IEEE Multimedia 19, no. 3 (July 2012): 42–52. http://dx.doi.org/10.1109/mmul.2012.31.
Full textLiu, Li, Shu Wang, Guoxin Su, Zi-Gang Huang, and Ming Liu. "Towards complex activity recognition using a Bayesian network-based probabilistic generative framework." Pattern Recognition 68 (August 2017): 295–309. http://dx.doi.org/10.1016/j.patcog.2017.02.028.
Full textLiu, Li, Yuxin Peng, Shu Wang, Ming Liu, and Zigang Huang. "Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors." Information Sciences 340-341 (May 2016): 41–57. http://dx.doi.org/10.1016/j.ins.2016.01.020.
Full textTriboan, Darpan, Liming Chen, Feng Chen, and Zumin Wang. "Semantic segmentation of real-time sensor data stream for complex activity recognition." Personal and Ubiquitous Computing 21, no. 3 (February 18, 2017): 411–25. http://dx.doi.org/10.1007/s00779-017-1005-5.
Full textQi, Jin, Zhangjing Wang, Xiancheng Lin, and Chunming Li. "Learning Complex Spatio-Temporal Configurations of Body Joints for Online Activity Recognition." IEEE Transactions on Human-Machine Systems 48, no. 6 (December 2018): 637–47. http://dx.doi.org/10.1109/thms.2018.2850301.
Full textJiang, Yajun, Paolo Rossi, and Charalampos G. Kalodimos. "Structural basis for client recognition and activity of Hsp40 chaperones." Science 365, no. 6459 (September 19, 2019): 1313–19. http://dx.doi.org/10.1126/science.aax1280.
Full textPatil, Prof Sonali, Siddhi Shelke, Shivani Joldapke, Vikrant Jumle, and Sakshi Chikhale. "Review on Human Activity Recognition for Military Restricted Areas." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 603–6. http://dx.doi.org/10.22214/ijraset.2022.47926.
Full textKee, Y. J., M. N. Shah Zainudin, M. I. Idris, R. H. Ramlee, and M. R. Kamarudin. "Activity Recognition on Subject Independent Using Machine Learning." Cybernetics and Information Technologies 20, no. 3 (September 1, 2020): 64–74. http://dx.doi.org/10.2478/cait-2020-0028.
Full textLateef Haroon P.S, Abdul, and U. Eranna. "A simplified machine learning approach for recognizing human activity." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 3465. http://dx.doi.org/10.11591/ijece.v9i5.pp3465-3473.
Full textLi, Chenglin, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, and Jianming Yang. "Similarity Embedding Networks for Robust Human Activity Recognition." ACM Transactions on Knowledge Discovery from Data 15, no. 6 (May 19, 2021): 1–17. http://dx.doi.org/10.1145/3448021.
Full textDoniger, Glen M., John J. Foxe, Micah M. Murray, Beth A. Higgins, Joan Gay Snodgrass, Charles E. Schroeder, and Daniel C. Javitt. "Activation Timecourse of Ventral Visual Stream Object-recognition Areas: High Density Electrical Mapping of Perceptual Closure Processes." Journal of Cognitive Neuroscience 12, no. 4 (July 2000): 615–21. http://dx.doi.org/10.1162/089892900562372.
Full textPeng, Liangying, Ling Chen, Xiaojie Wu, Haodong Guo, and Gencai Chen. "Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion." IEEE Transactions on Biomedical Engineering 64, no. 6 (June 2017): 1369–79. http://dx.doi.org/10.1109/tbme.2016.2604856.
Full textSawyer, Robert G., and Timothy L. Pruett. "Cellular mechanisms of abscess formation: Macrophage procoagulant activity and major histocompatibility complex recognition." Surgery 120, no. 3 (September 1996): 488–95. http://dx.doi.org/10.1016/s0039-6060(96)80068-7.
Full textLiu, Li, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, and Junhao Wen. "A framework of mining semantic-based probabilistic event relations for complex activity recognition." Information Sciences 418-419 (December 2017): 13–33. http://dx.doi.org/10.1016/j.ins.2017.07.022.
Full textTabatabaee Malazi, Hadi, and Mohammad Davari. "Combining emerging patterns with random forest for complex activity recognition in smart homes." Applied Intelligence 48, no. 2 (July 5, 2017): 315–30. http://dx.doi.org/10.1007/s10489-017-0976-2.
Full textSoro, Andrea, Gino Brunner, Simon Tanner, and Roger Wattenhofer. "Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning." Sensors 19, no. 3 (February 10, 2019): 714. http://dx.doi.org/10.3390/s19030714.
Full textZhou, Song, and Tianhan Gao. "Brain Activity Recognition Method Based on Attention-Based RNN Mode." Applied Sciences 11, no. 21 (November 5, 2021): 10425. http://dx.doi.org/10.3390/app112110425.
Full textFernandez-Olivares, Juan, and Raul Perez. "Driver Activity Recognition by Means of Temporal HTN Planning." Proceedings of the International Conference on Automated Planning and Scheduling 30 (June 1, 2020): 375–83. http://dx.doi.org/10.1609/icaps.v30i1.6683.
Full textRoy, Patrice C., Bruno Bouchard, Abdenour Bouzouane, and Sylvain Giroux. "Ambient Activity Recognition in Smart Environments for Cognitive Assistance." International Journal of Robotics Applications and Technologies 1, no. 1 (January 2013): 29–56. http://dx.doi.org/10.4018/ijrat.2013010103.
Full textMekruksavanich, Sakorn, and Anuchit Jitpattanakul. "Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data." Electronics 10, no. 14 (July 14, 2021): 1685. http://dx.doi.org/10.3390/electronics10141685.
Full textBuslepp, Jennifer, Rui Zhao, Debora Donnini, Douglas Loftus, Mohamed Saad, Ettore Appella, and Edward J. Collins. "T Cell Activity Correlates with Oligomeric Peptide-Major Histocompatibility Complex Binding on T Cell Surface." Journal of Biological Chemistry 276, no. 50 (October 2, 2001): 47320–28. http://dx.doi.org/10.1074/jbc.m109231200.
Full textdes Georges, Amédée, Yaser Hashem, Anett Unbehaun, Robert A. Grassucci, Derek Taylor, Christopher U. T. Hellen, Tatyana V. Pestova, and Joachim Frank. "Structure of the mammalian ribosomal pre-termination complex associated with eRF1•eRF3•GDPNP." Nucleic Acids Research 42, no. 5 (December 11, 2013): 3409–18. http://dx.doi.org/10.1093/nar/gkt1279.
Full textFreedman, Richard, Hee-Tae Jung, and Shlomo Zilberstein. "Plan and Activity Recognition from a Topic Modeling Perspective." Proceedings of the International Conference on Automated Planning and Scheduling 24 (May 11, 2014): 360–64. http://dx.doi.org/10.1609/icaps.v24i1.13683.
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