Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches

20 September 2016

Papers citing "Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches"

17 / 17 papers shown

Title
WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch Ying Lei Yancheng Cao Will Wang Yuanzhe Dong Changchang Yin ... Randy Auerbach Lena Mamykina Dakuo Wang Yansen Wang Xuhai Xu AI4MH 70 0 0 09 Feb 2025
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition Wen Ge Guanyi Mou Emmanuel O. Agu Kyumin Lee 25 4 0 26 Sep 2024
CRoP: Context-wise Robust Static Human-Sensing Personalization Sawinder Kaur Avery Gump Yi Xiao Jingyu Xin Harshit Sharma Nina R Benway Jonathan L Preston Asif Salekin 41 0 0 26 Sep 2024
CSM-H-R: A Context Modeling Framework in Supporting Reasoning Automation for Interoperable Intelligent Systems and Privacy Protection Songhui Yue Xiaoyang Hong Randy K. Smith 24 0 0 21 Aug 2023
COMPASS: Unsupervised and Online Clustering of Complex Human Activities from Smartphone Sensors M. Campana Franca Delmastro 17 2 0 27 Jun 2023
Neuro-Symbolic Approaches for Context-Aware Human Activity Recognition Luca Arrotta Gabriele Civitarese Claudio Bettini 32 0 0 08 Jun 2023
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions Asterios Bampakis Sofia Yfantidou Athena Vakali 11 1 0 30 Dec 2022
FedStack: Personalized activity monitoring using stacked federated learning T. Shaik Xiaohui Tao Niall Higgins R. Gururajan Yuefeng Li Xujuan Zhou Usha R. Acharya FedML 42 61 0 27 Sep 2022
Stop&Hop: Early Classification of Irregular Time Series Thomas Hartvigsen Walter Gerych Jidapa Thadajarassiri Xiangnan Kong Elke A. Rundensteiner AI4TS 47 13 0 21 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 35 123 0 10 Aug 2022
A óne-size-fits-most' walking recognition method for smartphones, smartwatches, and wearable accelerometers Marcin Straczkiewicz Emily J. Huang J. Onnela 22 19 0 15 Jul 2022
CROMOSim: A Deep Learning-based Cross-modality Inertial Measurement Simulator Yujiao Hao Boyu Wang Rong Zheng 28 7 0 21 Feb 2022
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning Rushit Dave Naeem Seliya Mounika Vanamala Weihown Tee 29 17 0 21 Jan 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 27 296 0 31 Oct 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 246 0 09 Sep 2021
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 24 234 0 19 Apr 2020
Benchmarking TinyML Systems: Challenges and Direction Colby R. Banbury Vijay Janapa Reddi Max Lam William Fu A. Fazel ... Jae-sun Seo Jeff Sieracki Urmish Thakker Marian Verhelst Poonam Yadav 120 230 0 10 Mar 2020