Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput

11 November 2016

Papers citing "Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput"

22 / 22 papers shown

Title
In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability Azhar Ali Khaked Nobuyuki Oishi Daniel Roggen Paula Lago 52 0 0 14 Mar 2025
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes Xian Gao Jiacheng Ruan Jingsheng Gao Mingye Xie Zongyun Zhang Ting Liu Yuzhuo Fu 46 0 0 09 Mar 2025
Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals Farhad Nazari D. Nahavandi N. Mohajer Abbas Khosravi 35 6 0 07 Mar 2024
Multimodal Contrastive Learning with Hard Negative Sampling for Human Activity Recognition Hyeongju Choi Apoorva Beedu Irfan Essa SSL 23 3 0 03 Sep 2023
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning J. Dabrowski Ashfaqur Rahman 14 3 0 20 Apr 2023
Efficient Deep Clustering of Human Activities and How to Improve Evaluation Louis Mahon Thomas Lukasiewicz HAI 31 3 0 17 Sep 2022
Comparison Study of Inertial Sensor Signal Combination for Human Activity Recognition based on Convolutional Neural Networks Farhad Nazari N. Mohajer D. Nahavandi Abbas Khosravi S. Nahavandi 14 11 0 09 Jun 2022
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data Abduallah A. Mohamed F. Lejarza Stephanie Cahail Christian G. Claudel Edison Thomaz HAI 11 0 0 07 Mar 2022
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition Yimu Wang Kun Yu Yan Wang Huiwen Xue HAI 13 2 0 16 Feb 2022
Merging Subject Matter Expertise and Deep Convolutional Neural Network for State-Based Online Machine-Part Interaction Classification Hao Wang Yassine Qamsane J. Moyne Kira Barton 18 1 0 08 Dec 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 296 0 31 Oct 2021
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals Yassin Khalifa Danilo P. Mandic E. Sejdić 14 48 0 11 Dec 2020
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation Davide Buffelli Fabio Vandin HAI 18 42 0 06 Jun 2020
Entropy Decision Fusion for Smartphone Sensor based Human Activity Recognition O. Arigbabu 11 3 0 30 May 2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 22 233 0 19 Apr 2020
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks Spyroula Masiala W. Huijbers M. Atzmüller 6 19 0 08 Sep 2019
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks Elnaz Soleimani Ehsan Nazerfard GAN 22 120 0 29 Mar 2019
Few-Shot Learning-Based Human Activity Recognition Siwei Feng Marco F. Duarte 13 68 0 25 Mar 2019
Understanding and Improving Deep Neural Network for Activity Recognition Li Xue Xiandong Si Lanshun Nie Jiazhen Li Renjie Ding Dechen Zhan Dianhui Chu HAI 21 19 0 18 May 2018
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition Kaixuan Chen Lina Yao Tao Gu Zhiwen Yu Xianzhi Wang Dalin Zhang 33 3 0 21 Nov 2017
Deep Learning for Sensor-based Activity Recognition: A Survey Jindong Wang Yiqiang Chen Shuji Hao Xiaohui Peng Lisha Hu HAI 14 1,616 0 12 Jul 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012