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 301–333 of 333

  1. Methodology for Smartwatch-Based Complex Human Activity Recognition in Production Systems
    Myroslav Mishchuk, Olena Pavliuk, Rafał Cupek · 2024 · SSRN Electronic Journal
  2. Feature representation learning for human activity recognition
    Bulat Khaertdinov · 2024
  3. Підхід до інтелектуалізації промислових підприємств на підставі розпізнавання складних видів діяльності персоналу.
    Olena Pavliuk, Myroslav Mishchuk, Mykola Medykovskyy · 2024 · Науковий вісник НЛТУ України
  4. Predicting public assault incidents through AI-enabled human activity recognition
    P Rahul, S. Rubin Bose, R. Regin, M Nishanth, P Roshan, Reshma Dhilip · 2023 · International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)
  5. A Novel Deep Learning Model for Smartphone-Based Human Activity Recognition
    Agti Nadia, Lyazid Sabri, Okba Kazar, Abdelghani Chibani · 2024 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  6. Real-Time Human Activity Recognition for Elderly VR Training with Body Area Networks
    Yun-Chieh Fan, Chih-Yu Wen · 2024 · Studies in computational intelligence
  7. A Multibranch LSTM-CNN Model for Human Activity Recognition
    Saidul Kabir, Mosabber Uddin Ahmed, Md. Mosarrof Hossen, Muhammad E. H. Chowdhury · 2024 · Studies in computational intelligence
  8. Analysis of human action recognition using CNN algorithm in comparison with ANN algorithm
    Shaik Nooruddin Basha, Priyanka Dass · 2024 · AIP conference proceedings
  9. Human Activity Recognition Using Feedforward Backpropagation Neural Network
    Fadi Al Debs, Makram El Jurdy, Elias Fares, Gaby Abou Haidar, Michel J. Owayjan, Roger Achkar · 2024 · International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
  10. Human Activity Recognition Using Advanced Machine Learning and Deep Learning Techniques
    Purba Mukhopadhyay, Koushik Majumdar, Saikat Basu · 2025 · Lecture notes in networks and systems
  11. Geometric features based recurrent neural network-long short-term memory for human activity recognition
    Suresh Kumar Badhagouni, Viswanadha Raju, Bharadwaj Vedadri Yoganand, Gaurav Pushkarna · 2025 · AIP conference proceedings
  12. Hybrid deep learning model for human activity recognition using smartphone and smart home data
    Agti Nadia, Lyazid Sabri, Okba Kazar · 2025 · Journal of Ambient Intelligence and Smart Environments
  13. Self-adaptive uncertainty modeling and relation reasoning for cross-modal egocentric human action recognition in sports
    Zhangzhi Zhao, Chen He, Xun Jiang, Xing Xu · 2025 · Computers & Electrical Engineering
  14. On the Utilization of Sensor-Based Machine Learning Approaches for Human Activity Recognition
    Saira Hamid, Tahir Javed, Aftab Khan, Saleem Iqbal · 2025 · Journal of Engineering and Applied Sciences , University of Engineering and Technology, Peshawar
  15. Performance Analysis of CNN Algorithm for Video Sequence in Human Activity Detection
    A. D. Radhika, Jyothi S. Nayak · 2025 · Lecture notes in networks and systems
  16. Human Activity and Vehicle Classification using Smart Device Sensors with Machine Learning Assisted Algorithms
    Anjani Kumar Anjani · 2025 · Research Square
  17. A guideline for gesture recognition developers with triboelectric gloves: Key insights on handcrafted feature extraction approach
    Thiago Simões Dias, José Jair Alves Mendes, Heitor Silvério Lopes, Thiago H. Silva, Sérgio Francisco Pichorim · 2025 · Biomedical Signal Processing and Control
  18. Fault Prognosis of Gearbox Based on Convolutional LSTM Autoencoder using Current Signal Data
    Bac Viet Nguyen, Jae Wook Jeon · 2025 · International Conference on Control, Automation and Systems (ICCAS)
  19. Deep Learning for Abnormal Human Activity Detection: A Comprehensive Review of Technology, Evaluation parameters and Recent trends in Intelligent Surveillance
    Shweta S. Patil, U. L. Bombale · 2025 · IEEE International Conference for Women in Computing (InCoWoCo)
  20. TricP: A Novel Approach for Human Activity Recognition Using Tricky Predator Optimization Based on Inception and LSTM
    Palak Girdhar, Prashant Johri, Virmani Deepali, Osamah Ibrahim Khalaf, Fahima Hajjej, Wing-keung Wong, Sameer Algburi · 2026 · Telecom
  21. Fusion of AI and cloud in human activity recognition: potential and future directions
    Sudip Chatterjee, Pronaya Bhattacharya, Ashwani Kumar, Rajesh Gupta, Sudeep Tanwar, Yogi Patel, Kai Fang, Hailin Feng, Thippa Reddy Gadekallu · 2026 · PeerJ Computer Science
  22. Sensor-Based Activity Classification for Health Monitoring of Elderly People Using a Deep Convolutional Neural Network
    Anindya Jana, Pritam Adhikari, Suman De, Shrawtrik Bhattacharjee, Pawan Kumar Singh · 2026 · Communications in computer and information science
  23. Adaptive Gated Multimodal Fusion for Robust and Generalized Human Activity Recognition
    Swati Gautam, Ankush Shrivastava · 2026 · Journal of Trends in Computer Science and Smart Technology
  24. 329Smart Systems Powered by K-Nearest Neighbors (KNN) and Bidirectional LSTMs for Real-Time Data Processing
    S. Rukmani Devi, P. Selvaraju, R. Ramprasad, S. Meenakshi, Chinnaraj Govindasamy, M. Rajasekar · 2025 · De Gruyter eBooks
  25. Deep learning and ontology-fuzzy inference system for elderly activity recognition
    Fatemeh Serpush, Behrooz Masoumi, Mohammad Bagher Menhaj, Babak Karasfi · 2026 · Multimedia Tools and Applications
  26. Intuitive Multi‐Scale Visual Feature Fusion for Automated Classification of Human Activity
    Vinay Gautam, Gaganpreet Kaur, ANURAG SINHA, Ashish Kumar Verma, Anindya Nag · 2026 · IET Cyber-Physical Systems Theory & Applications
  27. DMSCNet: A Dilated Multi-Scale Contrastive Attention Network for Sensor-Based Human Activity Recognition
    Qingshan Wu, Shengguang Chu, Kewen Li, Liechong Wang · 2026 · Applied Sciences
  28. TVCA-IF: A temporal-variable cross-attention interactive fusion network for multidimensional sensor-based human activity recognition
    Yipeng Xu, Hongji Xu, Weihao Li, Hao Zheng, Zhikai Xu, Dan Li, Peiquan Tian, Zihan Ruan, Yonghui Yu · 2026 · Information Sciences
  29. Exploring the impact of window size, overlap, and hyperparameter tuning on the performance of deep learning models in sensor-based human activity recognition
    Mariam El Ghazi, Noura Aknin · 2026 · Multimedia Tools and Applications
  30. An adaptive attention residual convolutional LSTM network for robust human activity recognition in healthy aging
    Mohamed Abderrahmen Boulahia, Saber Benharzallah, Abdelkader Laouid, Faiza Titouna, Tahar Dilekh · 2026 · Multimedia Tools and Applications
  31. Complex Human Activities Recognition Using Smartphone Sensors: A Deep Learning Approach
    mubashar Saeed, Arshad Awan, Saira Hameed · 2024 · International Journal of Innovations in Science and Technology
  32. Dynamic ensemble learning model for Human Activity Recognition using wearable sensors
    Sarmad K. D. Alkhafaji, Huda Hadi Talib, Aqeel Sahi, Mohammed Diykh, Muntadher Alshaikh Ali, Hadi Ratham, Shahab Abdulla · 2026 · Intelligent Systems with Applications
  33. Recent innovation in vision-based human activity recognition: a systematic survey
    Divya Yadav, Deepika Rani, Om Prakash Verma, Tarun Kumar Sharma · 2026 · Journal of Visual Communication and Image Representation