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With the widespread adoption of the quantified self movement, an increasing number of users rely on mobile applications to monitor their physical activity through their smartphones.
Using dynamic time warping to find patterns in time series
Donald J. Berndt og James Clifford · 1994
Earlier work this paper cites.
Activity and location recognition using wearable sensors
Seon-Woo Lee og Kenji Mase · 2002
Earlier work this paper cites.
Stride and cadence as a biometric in automatic person identification and verification
C. BenAbdelkader, R. Cutler og L. Davis · 2002
Earlier work this paper cites.
Using sensors to measure activity in people with stroke
George D. Fulk og Edward Sazonov · 2011
Earlier work this paper cites.
Accomplice: Location inference using accelerometers on smartphones
Jun Han, Emmanuel Owusu, Le T Nguyen, Adrian Perrig og Joy Zhang · 2012
Earlier work this paper cites.
A framework for context-aware privacy of sensor data on mobile systems
Supriyo Chakraborty, Kasturi Rangan Raghavan, Matthew P. Johnson og Mani B. Srivastava · 2013
Earlier work this paper cites.
Unique in the crowd: The privacy bounds of human mobility
Yves-Alexandre de Montjoye, César A Hidalgo, Michel Verleysen og Vincent D Blondel · 2013
Earlier work this paper cites.
A survey of physical activity monitoring and assessment using internet of things technology
Jun Qi, Po Yang, Dina Fan og Zhikun Deng · 2015
Earlier work this paper cites.
Certifying and removing disparate impact
Michael Feldman, Sorelle A Friedler, John Moeller, Carlos Scheidegger og Suresh Venkatasubramanian · 2015
Earlier work this paper cites.
Smartphone-based human activity recognition
J. L. Reyes-Ortiz · 2015
Earlier work this paper cites.
Inertial sensor-based gait recognition: a review
S. Sprager og M. B. Juric · 2015
Earlier work this paper cites.
Censoring representations with an adversary, 2015
Harrison Edwards og Amos Storkey · 2015
Earlier work this paper cites.
User acceptance of wearable devices: An extended perspective of perceived value
Heetae Yang, Jieun Yu, Hangjung Zo og Munkee Choi · 2016
Earlier work this paper cites.
The mobiact dataset: Recognition of activities of daily living using smartphones
George Vavoulas, Charikleia Chatzaki, Thodoris Malliotakis, Matthew Pediaditis og Manolis Tsiknakis · 2016
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A context-based privacy preserving framework for wearable visual lifeloggers
E. Zarepour, M. Hosseini, S. S. Kanhere og A. Sowmya · 2016
Cited alongside, same era.
Use of machine learning classifiers and sensor data to detect neurological deficit in stroke patients
Eunjeong Park, Hyuk-Jae Chang og Hyo Suk Nam · 2017
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A review of activity trackers for senior citizens: Research perspectives, commercial landscape and the role of the insurance industry
Salvatore Tedesco, John Barton og Brendan O’Flynn · 2017
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Step detection algorithm for accurate distance estimation using dynamic step length
A. Abadleh, E. Al-Hawari, E. Alkafaween og H. Al-Sawalqah · 2017
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Siamese generative adversarial privatizer for biometric data, 2018
Witold Oleszkiewicz, Peter Kairouz, Karol Piczak, Ram Rajagopal og Tomasz Trzcinski · 2018
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Data synthesis based on generative adversarial networks
Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park og Youngmin Kim · 2018
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The purpose driven privacy preservation for accelerometer-based activity recognition
Soumia Menasria, J. Wang og M. Lu · 2018
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Privacy implications of accelerometer data: a review of possible inferences
Jacob Leon Kröger, Philip Raschke og Towhidur Rahman Bhuiyan · 2019
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Recent progress on generative adversarial networks (gans): A survey
Zhaoqing Pan, Weijie Yu, Xiaokai Yi, Asifullah Khan, Feng Yuan og Yuhui Zheng · 2019
Later among the works it cites.
Deep learning for time series classification: a review
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Deeprotect: Enabling inference-based access control on mobile sensing applications, 2017
Changchang Liu, Supriyo Chakraborty og Prateek Mittal · 2017
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Sensegen: A deep learning architecture for synthetic sensor data generation
Moustafa Alzantot, Supriyo Chakraborty og Mani Srivastava · 2017
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Toward privacy in iot mobile devices for activity recognition
Théo Jourdan, Antoine Boutet og Carole Frindel · 2018
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Protecting sensory data against sensitive inferences
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro og Hamed Haddadi · 2018
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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 og Uzoma Rita Alo · 2018
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Recent trends in machine learning for human activity recognition-a survey
Sreenivasan Ramasamy Ramamurthy og Nirmalya Roy · 2018
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Vgan-based image representation learning for privacy-preserving facial expression recognition, 2018
Jiawei Chen, Janusz Konrad og Prakash Ishwar · 2018
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Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar og Pierre-Alain Muller · 2019
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Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu og Alain Tapp · 2019
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Competitive gradient descent
Florian Schäfer og Anima Anandkumar · 2019
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Olympus: Sensor privacy through utility aware obfuscation
Nisarg Raval, Ashwin Machanavajjhala og Jerry Pan · 2019
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Mobile sensor data anonymization
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro og Hamed Haddadi · 2019
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Privacy-preserving adversarial networks
Ardhendu Tripathy, Ye Wang og Prakash Ishwar · 2019
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Generating optimal privacy-protection mechanisms via machine learning
Marco Romanelli, Catuscia Palamidessi og Konstantinos Chatzikokolakis · 2019
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