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Human Activity Recognition (HAR) constitutes one of the most important tasks for wearable and mobile sensing given its implications in human well-being and health monitoring.
Semi-supervised learning literature survey
Xiaojin Jerry Zhu · 2005
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Exploring semi-supervised and active learning for activity recognition
Maja Stikic, Kristof Van Laerhoven, and Bernt Schiele · 2008
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Introduction to semi-supervised learning
Xiaojin Zhu and Andrew B Goldberg · 2009
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Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey
Akin Avci, Stephan Bosch, Mihai Marin-Perianu, Raluca Marin-Perianu, and Paul Havinga · 2010
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Activity recognition using cell phone accelerometers
Jennifer R Kwapisz, Gary M Weiss, and Samuel A Moore · 2011
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A public domain dataset for human activity recognition using smartphones
Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, and Jorge Luis Reyes-Ortiz · 2013
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Smart devices are different: Assessing and mitigating mobile sensing heterogeneities for activity recognition
Allan Stisen, Henrik Blunck, Sourav Bhattacharya, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind Dey, Tobias Sonne, and Mads Møller Jensen · 2015
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Human activity recognition with smartphone sensors using deep learning neural networks
Charissa Ann Ronao and Sung-Bae Cho · 2016
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Deep, convolutional, and recurrent models for human activity recognition using wearables
Nils Y Hammerla, Shane Halloran, and Thomas Plötz · 2016
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Kihyuk Sohn · 2016
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Human activity recognition from accelerometer data using convolutional neural network
Song-Mi Lee, Sang Min Yoon, and Heeryon Cho · 2017
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Unimib shar: A dataset for human activity recognition using acceleration data from smartphones
Daniela Micucci, Marco Mobilio, and Paolo Napoletano · 2017
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Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks
Terry T Um, Franz MJ Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, and Dana Kulić · 2017
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Human activity recognition for healthcare using smartphones
Godwin Ogbuabor and Robert La · 2018
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Iot based mobile healthcare system for human activity recognition
Abdulhamit Subasi, Mariam Radhwan, Rabea Kurdi, and Kholoud Khateeb · 2018
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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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Multi-task self-supervised learning for human activity detection
Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien · 2019
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Data-efficient image recognition with contrastive predictive coding
Olivier J Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, SM Eslami, and Aaron van den Oord · 2019
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Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Henry Friday Nweke, Ying Wah Teh, Mohammed Ali Al-Garadi, and Uzoma Rita Alo · 2018
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Protecting sensory data against sensitive inferences
Mohammad Malekzadeh, Richard G Clegg, Andrea Cavallaro, and Hamed Haddadi · 2018
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Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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