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Advanced Topics in Mobile and Sensor Systems and Data Modelling

2019

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System, Energy and Security.

Naser Al Duaij, Alexander Van't Hof, and Jason Nieh. 2019. Heterogeneous Multi-Mobile Computing. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '19). ACM, New York, NY, USA. PDF.

Huan Feng, Kassem Fawaz, and Kang G. Shin. 2017. Continuous Authentication for Voice Assistants. In Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking (MobiCom '17). ACM, New York, NY, USA. PDF.

Jaewon Choi, HyeonJung Park, Jeongyeup Paek, Rajesh Krishna Balan, and JeongGil Ko. 2019. LpGL: Low-power Graphics Library for Mobile AR Headsets. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '19). ACM, New York, NY, USA. PDF.

Activity Recognition with Machine Learning and Mobile Sensor Data.

Hyeokhyen Kwon, Gregory D. Abowd, and Thomas Ploetz. 2019. Handling annotation uncertainty in human activity recognition. In Proceedings of the 23rd International Symposium on Wearable Computers (ISWC '19). ACM, New York, NY, USA. PDF.

Aaqib Saeed, Tanir Ozcelebi, and Johan Lukkien. 2019. Multi-task Self-Supervised Learning for Human Activity Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 2, Article 61 (June 2019). PDF.

Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian Lane, and Xiaobing Liu. 2018. Understanding and improving recurrent networks for human activity recognition by continuous attention. In Proceedings of the 2018 ACM International Symposium on Wearable Computers (ISWC '18). ACM, New York, NY, USA. PDF.

On Device Machine Learning.

Kusupati, Aditya and Singh, Manish and Bhatia, Kush and Kumar, Ashish and Jain, Prateek and Varma, Manik. FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network. In Advances in Neural Information Processing Systems 31 (NIPS 2018). PDF.

Biyi Fang, Xiao Zeng, and Mi Zhang. 2018. NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom '18). ACM, New York, NY, USA. PDF.

Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, and Tarek Abdelzaher. 2018. RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Volume 1 Issue 4. 2018 PDF.

Backscatter Communication, Battery Free and Energy Harvesting Devices.

Nivedita Arora, Steven L. Zhang, Fereshteh Shahmiri, Diego Osorio, Yi-Cheng Wang, Mohit Gupta, Zhengjun Wang, Thad Starner, Zhong Lin Wang, and Gregory D. Abowd. 2018. SATURN: A Thin and Flexible Self-powered Microphone Leveraging Triboelectric Nanogenerator. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 2, Article 60 (July 2018). PDF.

Seulki Lee, and Shahriar Nirjon. Neuro.ZERO: A Zero-Energy Neural Network Accelerator for Embedded Sensing and Inference Systems. In the 17th ACM Conference on Embedded Networked Sensor Systems (SenSys '19), 12 pg, November 2019. New York, NY. PDF.

Junsu Jang and Fadel Adib. 2019. Underwater backscatter networking. In Proceedings of the ACM Special Interest Group on Data Communication (SIGCOMM '19). ACM, New York, NY, USA, 187-199. PDF.

New Sensing Modalities.

Ke Sun, Ting Zhao, Wei Wang, and Lei Xie. 2018. VSkin: Sensing Touch Gestures on Surfaces of Mobile Devices Using Acoustic Signals. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom '18). ACM, New York, NY, USA. PDF.

hichao Yue and Dina Katabi. 2019. Liquid Testing with Your Smartphone. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '19). ACM, New York, NY, USA. PDF.

Ali Kiaghadi, Morgan Baima, Jeremy Gummeson, Trisha Andrew, and Deepak Ganesan. 2018. Fabric as a Sensor: Towards Unobtrusive Sensing of Human Behavior with Triboelectric Textiles. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SenSys '18), Gowri Sankar Ramachandran and Bhaskar Krishnamachari (Eds.). ACM, New York, NY, USA. PDF.

Urban Mobility and Human Mobility Modelling.

Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, and Depeng Jin. 2018. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks. In Proceedings of the 2018 World Wide Web Conference (WWW '18). International World Wide Web Conferences Steering Committee, Geneva, Switzerland. PDF.

Zidong Yang, Ji Hu, Yuanchao Shu, Peng Cheng, Jiming Chen, and Thomas Moscibroda. 2016. Mobility Modeling and Prediction in Bike-Sharing Systems. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16). ACM, New York, NY, USA. PDF.

Zhang, Junbo and Zheng, Yu and Qi, Dekang and Li, Ruiyuan and Yi, Xiuwen and Li, Tianrui. Predicting citywide crowd flows using deep spatio-temporal residual networks. Artificial Intelligence. 2018. V. 258. Pages 147--166. PDF.

Mobile Health.

Chen-Yu Hsu, Aayush Ahuja, Shichao Yue, Rumen Hristov, Zachary Kabelac, and Dina Katabi. 2017. Zero-Effort In-Home Sleep and Insomnia Monitoring using Radio Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3, Article 59 (September 2017). PDF.

Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Phuc Nguyen, Hoang Truong, Taeho Kim, Anh Nguyen, Zhanan Zou, Nicholas Farrow, Jianliang Xiao, Robin Deterding, Thang Dinh, Tam Vu. eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User’s Ear. Proc. ACM International Conference on Mobile Computing and Networking (Mobicom '19). ACM, New York, NY, USA. PDF.

Bhanu Teja Gullapalli, Annamalai Natarajan, Gustavo A. Angarita, Robert T. Malison, Deepak Ganesan, and Tauhidur Rahman. 2019. On-body Sensing of Cocaine Craving, Euphoria and Drug-Seeking Behavior Using Cardiac and Respiratory Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 2, Article 46 (June 2019). PDF.

Hanbin Zhang, Chen Song, Aosen Wang, Chenhan Xu, Dongmei Li, and Wenyao Xu. 2019. PDVocal: Towards Privacy-preserving Parkinson's Disease Detection using Non-speech Body Sounds. In The 25th Annual International Conference on Mobile Computing and Networking (MobiCom '19). PDF.

2018

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MobileOS, Resource, Privacy and Energy.

Eduardo Cuervo, Alec Wolman, Landon P. Cox, Kiron Lebeck, Ali Razeen, Stefan Saroiu, and Madanlal Musuvathi. 2015. Kahawai: High-Quality Mobile Gaming Using GPU Offload. In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15). PDF.

Chulhong Min, Youngki Lee, Chungkuk Yoo, Seungwoo Kang, Sangwon Choi, Pillsoon Park, Inseok Hwang, Younghyun Ju, Seungpyo Choi, and Junehwa Song. 2015. PowerForecaster: Predicting Smartphone Power Impact of Continuous Sensing Applications at Pre-installation Time. In Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems (SenSys '15). PDF.

Raul Herbster, Scott DellaTorre, Peter Druschel, and Bobby Bhattacharjee. 2016. Privacy Capsules: Preventing Information Leaks by Mobile Apps. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16). PDF.

Activity Recognition with Machine Learning and On Device Learning

Nils Y. Hammerla, Shane Halloran, and Thomas Ploetz. 2016. Deep, convolutional, and recurrent models for human activity recognition using wearables. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16), Gerhard Brewka (Ed.). AAAI Press 1533-1540. PDF.

Seungyeop Han, Haichen Shen, Matthai Philipose, Sharad Agarwal, Alec Wolman, and Arvind Krishnamurthy. 2016. MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16). PDF.

Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, and Tarek Abdelzaher. 2018. RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Volume 1 Issue 4. 2018 PDF.

Mobile Sensing

Tauhidur Rahman, Alexander T. Adams, Mi Zhang, Erin Cherry, Bobby Zhou, Huaishu Peng, and Tanzeem Choudhury. 2014. BodyBeat: a mobile system for sensing non-speech body sounds. In Proceedings of the 12th annual international conference on Mobile systems, applications, and services (MobiSys '14). PDF.

Tianxing Li, Qiang Liu, and Xia Zhou. 2016. Practical Human Sensing in the Light. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16) PDF.

Sheng Shen, He Wang, and Romit Roy Choudhury. 2016. I am a Smartwatch and I can Track my User's Arm. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16). PDF.

Backscatter Communication and Battery Free Devices

Pengyu Zhang, Mohammad Rostami, Pan Hu, and Deepak Ganesan, Enabling Practical Backscatter Communication for On-body Sensors, Proceedings of ACM SIGCOMM 2016. PDF.

Vamsi Talla, Bryce Kellogg, Shyamnath Gollakota, and Joshua R. Smith. 2017. Battery-Free Cellphone. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 2. PDF.

Yunfei Ma, Nicholas Selby, and Fadel Adib. 2017. Drone Relays for Battery-Free Networks. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication (SIGCOMM '17). PDF.

Mobile Health.

Rui Wang, Weichen Wang, Alex daSilva, Jeremy F. Huckins, William M. Kelley, Todd F. Heatherton, and Andrew T. Campbell. 2018. Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 1, PDF.

Rajalakshmi Nandakumar, Shyamnath Gollakota, and Nathaniel Watson. 2015. Contactless Sleep Apnea Detection on Smartphones. In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15). PDF.

Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi. Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture. International Conference on Machine Learning (ICML17). PDF.

Urban Mobility Modelling.

Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li. IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control. In Proceedings of ACM Conference on Knowledge Discovery and Data Mining. 2018. PDF

Suiming Guo, Chao Chen, Jingyuan Wang, Yaxiao Liu, Ke Xu, Daqing Zhang, and Dah Ming Chiu. 2018. A Simple but Quantifiable Approach to Dynamic Price Prediction in Ride-on-demand Services Leveraging Multi-source Urban Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2018. PDF

Zidong Yang, Ji Hu, Yuanchao Shu, Peng Cheng, Jiming Chen, and Thomas Moscibroda. 2016. Mobility Modeling and Prediction in Bike-Sharing Systems. In Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '16). PDF

Applications of Mobile Data Analytics.

Merkebe Getachew Demissie, Santi Phithakkitnukoon, Titipat Sukhvibu, Francisco Antunes, Rui Gomes, Carlos Bento. 2016. Inferring passenger travel demand to improve urban mobility in developing countries using cell phone data: a case study of Senegal. IEEE Transactions on Intelligent Transportation Systems, 17(9), pp.2466-2478. PDF

Ciro Cattuto, Wouter Van den Broeck, Alain Barrat, Vittoria Colizza, Jean-François Pinton, Alessandro Vespignani. Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks. Paper Link

Tim Althoff, Rok Sosic, Jennifer L. Hicks, Abby C. King, Scott L. Delp, Jure Leskovec. 2017. Large-scale physical activity data reveal worldwide activity inequality. Nature, 547(7663), p.336. PDF and Supplementary

Cristina Kadar, Irena Pletikosa. Mining large-scale human mobility data for long-term crime prediction. EPJ Data Science20187:26 Paper Link

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