InnoHAR: A Deep Neural Network for Complex Human Activity Recognition

Xu, Cheng, Chai, Duo, He, Jie, Zhang, Xiaotong, Duan, Shihong·2019·IEEE Access

Cited by (333)

Items 201–300 of 333

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    Jaegyun Park, Dae‐Won Kim, Jaesung Lee · 2025 · Engineering Applications of Artificial Intelligence
  2. A Cross-region Wireless-synchronization - based TDOA Method for Indoor Positioning Applications
    Xinghang Zhou, Cheng Xu, Jie He, Jiawang Wan · 2019 · Wireless and Optical Communications Conference
  3. Novel hybrid optimization based adaptive deep convolution neural network approach for human activity recognition system
    M. Ashwin, D. Jagadeesan, M. Raman Kumar, S. Murugavalli, A. Chaitanya Krishna, Veeraswamy Ammisetty · 2024 · Multimedia Tools and Applications
  4. Simultaneous and Spatiotemporal Detection of Different Levels of Activity in Multidimensional Data
    Natalie M. Sommer, Senem Velipasalar, Leanne Hirshfield, Yantao Lu, Burak Kakillioglu · 2020 · IEEE Access
  5. Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices
    K. M. Monica, R. Parvathi, A. Gayathri, Rajanikanth Aluvalu, K. Sangeetha, Chennareddy Vijay Simha Reddy · 2022 · Computational Intelligence and Neuroscience · Retracted
  6. DeepF-SVM: A new hybrid deep learning model for enhanced sensor-based human activity recognition
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  7. MCADFNet: Multi-scale cross-modal attention dynamic decision fusion network for Parkinson’s quantitative grading
    Yinghao Liu, Chao Lian, Jian Li, Zhikun Zhan, Yu Fu, Yuliang Zhao · 2026 · Applied Soft Computing
  8. Hierarchical human activity recognition with fusion of audio and multiple inertial sensor modalities
    Tuğce Alara Yılmaz, Hakan Yekta Yatbaz, Enver Ever, Adnan Yazıcı · 2025 · Scientific Reports
  9. Equipment data-based activity recognition of construction machinery
    Anne Fischer, Alexandre Beiderwellen Bedrikow, Stephan Kessler, Johannes Fottner · 2021 · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
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  11. Fold bifurcation identification through scientific machine learning
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  12. Semi-supervised Human Activity Recognition with individual difference alignment
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  13. Leveraging dataset integration and continual learning for human activity recognition
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  14. Action Recognition Using Local Visual Descriptors and Inertial Data
    Taha Alhersh, Samir Brahim Belhouari, Heiner Stuckenschmidt · 2019 · Lecture notes in computer science
  15. SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing
    Madhuri Ghorpade, Haiquan Chen, Yuhong Liu, Zhe Jiang · 2020 · IEEE International Conference on Big Data (BigData)
  16. SemNet: Learning semantic attributes for human activity recognition with deep belief networks
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  17. Comprehensive Analysis of Deep Learning-based Human Activity Recognition approaches based on Accuracy
    Aniruddh G. Fataniya, Hardik P. Modi · 2022 · International Journal of Computing and Digital Systems
  18. A Novel CNN, Bidirectional Long-Short Term Memory, and Gated Recurrent Unit-Based Hybrid Approach for Human Activity Recognition
    Narina Thakur, Sarjana Singh, Akash Gupta, Kunal Jain, Rachna Jain, Dragan Peraković, Nadia Nedjah, Marjan Kuchaki Rafsanjani · 2022 · International Journal of Software Science and Computational Intelligence
  19. A Comprehensive Analysis of Feature Extraction Techniques for Human Activity Recognition using Deep Learning
    Ansu Liz Thomas, J. E. Judith · 2024 · International Conference on Circuit, Power and Computing Technologies
  20. Toward Swarm Robots Tracking: A Constrained Gaussian Condensation Filter Method
    Shihong Duan, Hang Wu, Cheng Xu, Jiawang Wan · 2021 · Lecture notes in computer science
  21. Multitemporal Sampling Module for Real-Time Human Activity Recognition
    Jaegyun Park, Won-Seon Lim, Dae‐Won Kim, Jaesung Lee · 2022 · IEEE Access
  22. Classifying Human Activities with Inertial Sensors: A Machine Learning Approach
    Hamza Ali Imran, Saad Wazir, Usman Iftikhar, Usama Latif · 2021 · arXiv (Cornell University)
  23. Enhancing human activity recognition by leveraging fisher encoding and machine learning techniques: A study on ultimodal sensory data
    Iqra Nasir, Muhammad Hassan Khan, Muhammad Shahid Farid · 2025 · Journal of the Franklin Institute
  24. Deep learning for human activity recognition: A comprehensive review of architectures, performance, and challenges across five sensory datasets
    Abeer FathAllah Brery, Ascensión Gallardo-Antolín, Mahmoud Fakhry, Israel González‐Carrasco · 2026 · Expert Systems with Applications
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    C. Ambika Bhuvaneswari, M. Muthumari, A Jaya Sai Pragjnay, J Sree Lakshmi, T. N. Navya · 2022 · International Conference on Data Science and Information System (ICDSIS)
  26. Physical Locomotion Detection using pre- classification for Muscles monitoring
    Madiha Javeed, Mouazma Batool · 2022 · International Bhurban Conference on Applied Sciences and Technology (IBCAST)
  27. Ensem-DeepHAR: Identification of human activity in smart environments using ensemble of deep learning methods and motion sensor data
    S.M. Mohidul Islam, Kamrul Hasan Talukder · 2024 · Measurement Sensors
  28. Continuous Human Activity Recognition in Logistics from Inertial Sensor Data using Temporal Convolutions in CNN
    Abbas Shah Syed, Zafi Sherhan Syed, Areez Khalil · 2020 · International Journal of Advanced Computer Science and Applications
  29. Recognition of Human Activities via Wearable Sensors
    Luciana de Nardin, Kamila Rios da Hora Rodrigues, Larissa Cardoso Zimmermann, Brunela Della Maggiori Orlandi, Maria da Graça Campos Pimentel · 2020 · Brazilian Symposium on Multimedia and the Web
  30. Detection of Motion on a Trampoline with a Smartwatch
    Satoshi Kobayashi, Tatsuhito Hasegawa · 2021 · Sensors
  31. Human Activity Recognition Using Portable EEG Sensor and Support Vector Machine
    Shafaq Zia, Ali Nawaz Khan, Mayyda Mukhtar, Shan E Ali · 2021 · International Conference on Engineering and Emerging Technologies (ICEET)
  32. ECG-NETS – A novel integration of capsule networks and extreme gated recurrent neural network for IoT based human activity recognition
    S. Panneer Arokiaraj, N. Viswanathan · 2023 · Journal of Intelligent & Fuzzy Systems
  33. Gaussian Condensation Filter Based on Cooperative Constrained Particle Flow
    Ran Wang, Cheng Xu, Hang Wu, Yuchen Shi, Shihong Duan, Xiaotong Zhang · 2023 · IEEE Internet of Things Journal
  34. Qualitative Analysis of Techniques for Device-Free Human Activity Recognition
    Tuhina Raj, Tehmina Nisar, Mehak Abbas, Rashmi Priyadarshini, Shaheen Naz, Usha Tiwari · 2023 · Revue d intelligence artificielle
  35. Deep Residual Neural Network for Aggressive Physical Activity Recognition Using Surface Electromyography Sensors
    Sakorn Mekruksavanich, Anuchit Jitpattanakul · 2023 · IEEE International Conference on Software Engineering and Service Science (ICSESS)
  36. Multi-model weighted voting method based on convolutional neural network for human activity recognition
    Kangyue Ouyang, Zhongliang Pan · 2023 · Multimedia Tools and Applications
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    Guy Katz, Natan Levy, Idan Refaeli, Raz Yerushalmi · 2024 · IEEE/AIAA Digital Avionics Systems Conference (DASC)
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    Ye Tian, Yanlei Gu, Qianwen Lu, Shunsuke Kamijo · 2025 · Sensors
  39. Octave Mix: Data Augmentation Using Frequency Decomposition for Activity Recognition
    Tatsuhito Hasegawa · 2021 · IEEE Access
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    Ram Kumar Yadav, Subhrendu Guha Neogi, Vijay Bhaskar Semwal · 2022 · Lecture notes in networks and systems
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    Yu Tong, Rong Chen · 2023 · Research Square
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  43. An Enhanced Radar Sensing Algorithm With Time-Frequency Spectrum Augmentation and Activity Recognition
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  45. ST-Gesture: Spatio-Temporal Feature Extraction Network for Gesture Recognition Based on Attention Mechanism
    Hongchen Tang, Wanyun Chen, Yihui Yan, Yajing Tang, Yueyue Yang, Yuchen Feng, Ximing Jiang, Jun Lu, Yong Xu, Qun Fang · 2025 · IEEE Transactions on Aerospace and Electronic Systems
  46. Landmark Detection Based on Human Activity Recognition for Automatic Floor Plan Construction
    Zhao Huang, Stefan Poslad, Qingquan Li, Jianping Li, Chi Chen · 2022 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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    Zhiqiang Cai, Zhixin Zhang, Zhengdao Lu · 2023 · Journal of Circuits Systems and Computers
  48. CGRS: Continual Gesture Recognition System
    Hun-Sung Park, Jaegyun Park, Dae‐Won Kim, Jaesung Lee · 2024 · International Conference on Consumer Electronics
  49. Video Surveillance System-Based Human Activity Recognition Using Hierarchical Auto-Associative Polynomial Convolutional Neural Network with Garra Rufa Fish Optimization
    Prasanth Thiruvenkatam, Prabu Thangavel, Krishnasamy Balasubramanian, Sridhar Sekar · 2024 · International Journal of Pattern Recognition and Artificial Intelligence
  50. SenseMLP: a parallel MLP architecture for sensor-based human activity recognition
    Weilin Li, Jiaming Guo, Hong Wu · 2024 · Multimedia Systems
  51. MDEFC: Automatic recognition of human activities using modified differential evolution based fuzzy clustering method
    Abdulaziz Alblwi · 2024 · Journal of Computational Science
  52. A Comprehensive Review of Deep Learning for Activity Recognition
    Dipanwita Thakur, Giancarlo Fortino · 2024 · Internet of things
  53. Dynamic Black-box Backdoor Attacks on IoT Sensory Data
    Ajesh Koyatan Chathoth, Stephen Lee · 2024 · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
  54. IoT muscle monitoring device based on thermal infrared image monitoring in sports training: real-time analysis of exercise heat consumption
    Jinglong Geng, Jing Wang, Ting Wang, Xiao Yan · 2025 · Journal of Radiation Research and Applied Sciences
  55. Human Activity Recognition Based on Wavelet-CNN Architecture
    Dongwen Zhang, Lin Zhang, Qingwu Yi, Lu Hong Huang, Guanghua Zhang · 2021 · Asian Conference on Artificial Intelligence Technology (ACAIT)
  56. Human Activity Recognition with Video Classification
    Rajiv Kumar Nath, Atif Rasool, Nitin Gangwar, Harshit Jha · 2022 · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
  57. gRoMA: A Tool for Measuring the Global Robustness of Deep Neural Networks
    Natan Levy, Raz Yerushalmi, Guy Katz · 2023 · AISoLA
  58. Exploring nonlinear correlations among transition metal nanocluster properties using deep learning: a comparative analysis with LOO-CV method and cosine similarity
    Zahra Nasiri Mahd, Alireza Kokabi, Maryam Fallahzadeh, Zohreh Naghibi · 2024 · Nanotechnology
  59. Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition
    Heon-Sung Park, Min-Kyung Sung, Dae‐Won Kim, Jaesung Lee · 2025 · Sensors
  60. A real time optical sensing-based image processing and deep learning method for 2D-3D human activity classification for virtual try-on systems
    Akanksha Mrinali, Pankaj Gupta · 2025 · Journal of Optics
  61. Sparse and Contractive Graph-Based Variational Encoder-Decoder with Multihead Attention for Robust Spatiotemporal Activity Recognition
    Mohsen Saffari, Yash Pratap Singh, Mahdi Khodayar · 2025 · IEEE International Conference on Electro Information Technology
  62. Human activity recognition and behavioural prediction: a comprehensive systematic review
    G. S. Gisha, M. Thangavel, J. Divya Udayan · 2025 · Multimedia Tools and Applications
  63. Accurate Fitness Activity Recognition Based on IMU Sensors Using Deep Residual Bidirectional Gated Recurrent Unit Network
    Sakorn Mekruksavanich, Anuchit Jitpattanakul · 2025 · IEEE Access
  64. E-static Sensors: Leveraging Triboelectricity for Enabling Gesture-based Interactions with Everyday Textiles
    Ramyah Gowrishankar, Clayton Frederick Souza Leite, Henry Mauranen, Yu Xiao · 2025 · International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI Adjunct)
  65. Application of graph convolutional spatial temporal fusion model based on gated recurrent unit and attention mechanism in inertial signal human activity recognition
    Zhengwei Huang, Shidong Lian, Chunsheng Zhang, Xiaoyong Li · 2025 · Biomedical Signal Processing and Control
  66. Dual-Stream Sparse Transformer for Gait Recognition Based on Inertial Signals
    Yi Xia, Han Wang · 2025 · IEEE Sensors Journal
  67. Assembly motion recognition and standard time measurement based on wearable sensors and deep learning models
    Runkai Tian, Fansen Kong, Chun Wang, Taibo Chen, Siqi Zhang, Kaifang Ding, Ziyin Yu · 2026 · Measurement
  68. Spatiotemporal deep learning framework for predictive behavioral threat detection in surveillance footage
    Asha Aruna Sheela Matta, Venkata Purna Chandra Sekhara Rao Manukonda · 2026 · Frontiers in Big Data
  69. XNet: Enhancing Physical Activity Intensity Assessment With Attentional Multidomain Fusion and Visual Analytics
    A. Mendoza, Emely Pujólli da Silva, Didier A. Vega‐Oliveros, T. Frota de Souza, Aurea Soriano-Vargas, M. Uchida, Anderson Rocha · 2026 · IEEE Transactions on Cybernetics
  70. Cognitive computing in human activity recognition with a focus on healthcare
    S. Ravi Shankar, Gopi Battineni, Mamta Mittal · 2021 · Elsevier eBooks
  71. Performance evaluation of multivariate statistical techniques using edge-enabled optimisation for change detection in activity monitoring
    Naveed Khan, Sally I. McClean, Shuai Zhang, Chris Nugent · 2023 · Journal of Cloud Computing Advances Systems and Applications
  72. Cascading Global and Local Deep Features for Smartphone-based Human Activity Classification
    Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin · 2023 · International Conference on Software and Computer Applications (ICSCA)
  73. Machine Learning Techniques for Human Activity Recognition Using Wearable Sensors
    Moushumi Das, Vansh Pundir, Vandana Mohindru, Kamal Deep Garg, Sushil Kumar Narang · 2023 · Lecture notes in electrical engineering
  74. Video Activity Classification : A Comparative Analysis and Deep Learning Based Implementation
    Swanand Purkar, Shriwatsal Patil, Varun Kale, Bhakti D. Kadam · 2024 · IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
  75. Biped Robot Data-driven Gait Trajectory Genesis for Traipse Ground Conditions
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  76. Hybrid Deep Learning Architecture for Efficient Human Activity Recognition: A CNN-Attention-BiLSTM Framework
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  77. Design of a Smart Restaurant Ordering System Utilizing Human Activity Recognition and Machine Learning in a Digital Infrastructure
    Gundumalle Ashlin Joel, T.M. Navamani, Archita Sharma, Vansh Harkut, Mansi Saxena, Arnav Goenka · 2026 · Wiley eBooks
  78. Smartphone-based Recognition of Human Activities using Shallow Machine Learning
    Maha Mohammed Alhumayyani, Mahmoud Mounir, Rasha Ismael · 2021 · International Journal of Advanced Computer Science and Applications
  79. Activity recognition and bioinspired approaches for robotics in intelligent environments
    Caetano Mazzoni Ranieri · 2021 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
  80. Deep Learning Methodologies For Human Activity Recognition
    Maha Mohammed Alhumayyani, Mahmoud Mounir, Rasha Mohamed Ismail · 2021 · International Conference on Intelligent Computing and Information Systems (ICICIS)
  81. Proposed Framework for Hybrid Approach Using Convolution LSTM-RNN for Human Activity Recognition
    Sonika Jindal, Jaswinder Singh, Monika Sachdeva, Alok Kumar Singh Kushwaha · 2022 · Lecture notes in networks and systems
  82. Deep Neural Network for Complex Human Activity Recognition
    M. Kusuma Sri, K. Sai Krishna · 2022 · International Journal of Advanced Research in Science Communication and Technology
  83. HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors
    Hamza Ali Imran, Usama Latif · 2021
  84. HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors
    Hamza Ali Imran, Usama Latif · 2021
  85. Human Activity Recognition Using Significant Skeletal Joints
    Abdul Lateef Haroon P S, P. Rashmi, Supriya Maganahalli Chandramouli · 2022 · International Journal of e-Collaboration
  86. Simulation-Driven Design of Smart Gloves for Gesture Recognition
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  88. Cross-Validation and Cosine Similarity-based Deep Correlation Analysisof Nonlinear Properties in Transition Metal Clusters
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  89. Computer Vision based Activity Recognition: Studying and Chit chatting
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  90. Activity Recognition in IoT
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  91. XAI-Based Light-Weight CNN-HAR Model Using Random Sampling
    Umamaheswari Rajasekaran, G. K. Sriram, P. Ramyavarshini, A. Malini · 2023 · Lecture notes in networks and systems
  92. Unsupervised Human Activity Recognition Approach in Multi-User Households
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  95. A Survey on Different Deep Learning Model for Human Activity Recognition based on Application
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  96. Tcn-Inception: Temporal Convolutional Network and Inception Modules for Sensor-Based Human Activity Recognition
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