InnoHAR: A Deep Neural Network for Complex Human Activity Recognition

Cited by (333)

Items 101–200 of 333

  1. A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network
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  4. Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations
    Yiyuan Zhang, Ine D’Haeseleer, José Coelho, Vero Vanden Abeele, Bart Vanrumste · 2021 · Sensors
  5. An effective swimming stroke recognition system utilizing deep learning based on inertial measurement units
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  9. Smart seru production system for Industry 4.0: a conceptual model based on deep learning for real-time monitoring and controlling
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    Yaxin Mao, Lamei Yan, Hongyu Guo, Yujie Hong, Xiaocheng Huang, Youwei Yuan · 2023 · Applied Sciences
  11. Disease Detection in Grape Cultivation Using Strategically Placed Cameras and Machine Learning Algorithms With a Focus on Powdery Mildew and Blotches
    Kashif Hesham Khan, Amer Aljaedi, Muhammad Shakeel Ishtiaq, Hassan Imam, Zaid Bassfar, Sajjad Shaukat Jamal · 2024 · IEEE Access
  12. A spatiotemporal multi-feature extraction framework with space and channel based squeeze-and-excitation blocks for human activity recognition
    Beibei Zhang, Hongji Xu, Hailiang Xiong, Xiaojie Sun, Leixin Shi, Shidi Fan, Juan Li · 2020 · Journal of Ambient Intelligence and Humanized Computing
  13. If only we had more data!: Sensor-Based Human Activity Recognition in Challenging Scenarios
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  23. Detection of Generalized Tonic Clonic Seizures and Falls in Unconstraint Environment Using Smartphone Accelerometer
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  24. 3D Dynamic Image Modeling Based on Machine Learning in Film and Television Animation
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    Xiaocheng Huang, Youwei Yuan, Chaoqi Chang, Yiming Gao, Chao Zheng, Lamei Yan · 2023 · Applied Sciences
  26. STFNet: Enhanced and Lightweight Spatiotemporal Fusion Network for Wearable Human Activity Recognition
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  31. PDC HAR: Human activity recognition via multi-sensor wearable networks using two-channel convolutional neural networks
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  32. A SE-DenseNet-LSTM model for locomotion mode recognition in lower limb exoskeleton
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  36. Sensitivity Analysis and Classification Algorithms Comparison for Underground Target Detection
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    Gabriela Ciortuz, Hawzhin Hozhabr Pour, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, Sebastian J. F. Fudickar · 2025 · Neurocomputing
  38. Complex Human Activity Recognition Based on Spatial LSTM and Deep Residual Convolutional Network Using Wearable Motion Sensors
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  39. Abrupt moving target tracking based on quantum enhanced particle filter
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    Md Abu Rumman Refat, Md. Parvez Hossain, Md. Rafiqul Islam, Anichur Rahman, Fahmid Al Farid, Hezerul Bin Abdul Karim, Abu Saleh Musa Miah · 2025 · Discover Applied Sciences
  43. Can Wearable Devices and Machine Learning Techniques Be Used for Recognizing and Segmenting Modified Physical Performance Test Items?
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  44. Text Augmentation-Based Model for Emotion Recognition Using Transformers
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  47. Masked Video and Body-Worn IMU Autoencoder for Egocentric Action Recognition
    Mingfang Zhang, Yifei Huang, Ruicong Liu, Yoichi Sato · 2024 · Lecture notes in computer science
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  50. A Localized Learning Approach Applied to Human Activity Recognition
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