Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks

29 March 2019

Papers citing "Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks"

32 / 32 papers shown

Title
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition Xiaozhou Ye Kevin I-Kai Wang 31 0 0 08 May 2025
Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation Michele Fiori Gabriele Civitarese Priyankar Choudhary Claudio Bettini 40 1 0 20 Mar 2025
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task H. Haresamudram Chi Ian Tang Sungho Suh P. Lukowicz Thomas Ploetz 76 2 0 11 Nov 2024
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition Idris Zakariyya Linda Tran Kaushik Bhargav Sivangi Paul Henderson F. Deligianni 26 0 0 04 Nov 2024
UserBoost: Generating User-specific Synthetic Data for Faster Enrolment into Behavioural Biometric Systems George Webber Jack Sturgess Ivan Martinovic 18 0 0 12 Jul 2024
Large Language Models are Zero-Shot Recognizers for Activities of Daily Living Gabriele Civitarese Michele Fiori Priyankar Choudhary Claudio Bettini 34 5 0 01 Jul 2024
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey Thai-Hoc Vu Senthil Kumar Jagatheesaperumal Minh-Duong Nguyen Nguyen Van Huynh Sunghwan Kim Viet Quoc Pham 39 8 0 30 May 2024
Workload Estimation for Unknown Tasks: A Survey of Machine Learning Under Distribution Shift Josh Bhagat Smith Julie A. Adams 24 0 0 20 Mar 2024
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition Xiaozhou Ye Kevin I-Kai Wang HAI 28 1 0 12 Mar 2024
Cross-user activity recognition via temporal relation optimal transport Xiaozhou Ye Kevin I-Kai Wang 27 5 0 12 Mar 2024
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models Luca Arrotta Claudio Bettini Gabriele Civitarese Michele Fiori 45 8 0 11 Mar 2024
Transfer Learning in Human Activity Recognition: A Survey Sourish Gunesh Dhekane Thomas Ploetz MU AI4TS 38 34 0 18 Jan 2024
A Deeply Supervised Semantic Segmentation Method Based on GAN Wei Zhao Qiyu Wei Zeng Zeng GAN 26 0 0 06 Oct 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 58 0 11 Jul 2023
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity Riccardo Presotto Sannara Ek Gabriele Civitarese François Portet P. Lalanda Claudio Bettini 30 7 0 23 Jun 2023
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition Luca Arrotta Gabriele Civitarese Claudio Bettini 24 0 0 08 Jun 2023
SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning Luca Arrotta Gabriele Civitarese Samuele Valente Claudio Bettini 24 1 0 19 Apr 2023
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey Avijoy Chakma A. Faridee Indrajeet Ghosh Nirmalya Roy 38 4 0 07 Apr 2023
ActiveSelfHAR: Incorporating Self Training into Active Learning to Improve Cross-Subject Human Activity Recognition Baichun Wei Chunzhi Yi Qi Zhang Haiqi Zhu Jianfei Zhu Feng Jiang 20 1 0 27 Mar 2023
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition Rong Hu Ling Chen Shenghuan Miao Xing Tang 23 26 0 25 Nov 2022
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation Sungho Suh Vitor Fortes Rey P. Lukowicz 30 55 0 14 Sep 2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion Xin Qin Jindong Wang Yiqiang Chen Wang Lu Xinlong Jiang OOD 40 36 0 21 Jul 2022
On Provably Robust Meta-Bayesian Optimization Zhongxiang Dai Yizhou Chen Haibin Yu K. H. Low Patrick Jaillet AAML 28 10 0 14 Jun 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 34 22 0 07 Apr 2022
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 23 295 0 31 Oct 2021
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables Alireza Abedin Hamid Rezatofighi Damith C. Ranasinghe GAN 19 5 0 12 Oct 2021
Personalized Semi-Supervised Federated Learning for Human Activity Recognition Riccardo Presotto Gabriele Civitarese Claudio Bettini 34 65 0 15 Apr 2021
Invariant Feature Learning for Sensor-based Human Activity Recognition Yujiao Hao Boyu Wang Rong Zheng 19 20 0 14 Dec 2020
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition Elnaz Soleimani G. Khodabandelou A. Chibani Y. Amirat 30 1 0 11 Nov 2020
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors Wenbin Gao Lei Zhang Qi Teng Jun He Hao Wu HAI 19 135 0 25 Jun 2020
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization Alan Mazankiewicz Klemens Böhm Mario Berges 24 33 0 25 May 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities Kaixuan Chen Dalin Zhang Lina Yao Bin Guo Zhiwen Yu Yunhao Liu HAI 42 619 0 21 Jan 2020