Mobile, Wearable Systems and Machine Learning

Lecture Material

5th October (1h): Introduction.

12th October: System, Energy and Security.

1. Naser Al Duaij, Alexander Van't Hof, and Jason Nieh. Heterogeneous Multi-Mobile Computing. MobiSys 2019. PDF.
2. Yonghun Choi, Seonghoon Park, Hojung Cha. Optimizing Energy Efficiency of Browsers in Energy-Aware Scheduling-enabled Mobile Devices. MobiCom 2019. PDF.
3. Yilin Yang, Xin Li, Zhengkun Ye, Yan Wang, Yingying Chen. BioCase: Privacy Protection via Acoustic Sensing of Finger Touches on Smartphone Case Mini-Structures. MobiSys, 2023. PDF.

19th October: Backscatter Communication, Battery Free and Energy Harvesting Devices.

1. Zhanghao Yu, Fatima T. Alrashdan, Wei Wang, Matthew Parker, Xinyu Chen, Frank Y. Chen, Joshua Woods, Zhiyu Chen, Jacob T. Robinson, Kaiyuan Yang. Magnetoelectric Backscatter Communication for Millimeter-Sized Wireless Biomedical Implants. MobiCom, 2022. PDF.
2. Rishi Shukla, Neev Kiran, Jeremy Gummeson, Rui Wang, Sunghoon Ivan Lee. SkinnyPower: Enabling Battery-less Wearable Sensors via Intra-Body Power Transfer. SenSys, 2019. PDF.
3. Minhao Cui, Qing Wang, Jie Xiong. Bracelet+: Harvesting the Leaked RF Energy in VLC with Wearable Bracelet Antenna. SenSys, 2022. PDF.

26th October: New Sensing Modalities.

1. Sijie Ji, Yaxiong Xie, Mo Li. SiFall: Practical Online Fall Detection with RF Sensing. SenSys 2022. PDF.
2. Yi Wu, Vimal Kakaraparthi, Zhuohang Li, Tien Pham, Jian Liu, VP Nguyen. BioFace-3D: Continuous 3D Facial Reconstruction Through Lightweight Single-ear Biosensors. MobiCom, 2021. PDF.
3. Hoang Truong, Shuo Zhang, Ufuk Muncuk, Phuc Nguyen, Nam Bui, Anh Nguyen, Qin Lv, Kaushik Chowdhury, Thang Dinh, Tam Vu. CapBand: Battery-free Successive Capacitance Sensing Wristband for Hand Gesture Recognition. SenSys, 2018. PDF.

2nd November: On Device Machine Learning.

1. Seulki Lee and Shahriar Nirjon. Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization. MobiSys 2020. PDF.
2. In Gim and JeongGil Ko. Memory-efficient DNN training on mobile devices. MobiSys, 2022. PDF.
3. Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden. TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems. MLSys, 2021. PDF.

9th November: Machine Learning on Wearable Data.

1. Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik. Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency. NeurIPS, 2022. PDF.
2. Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim. COCOA: Cross Modality Contrastive Learning for Sensor Data. IMMUT, 2022. PDF.
3. Xin Qin, Jindong Wang, Yiqiang Chen, Wang Lu, Xinlong Jiang. Domain Generalization for Activity Recognition via Adaptive Feature Fusion. Transactions on Intelligent Systems and Technology, 2021. PDF.

16th November: Mobile and Wearable Health.

1. Yincheng Jin, Yang Gao, Xiaotao Guo, Jun Wen, Zhengxiong Li, Zhanpeng Jin. EarHealth: An Earphone-based Acoustic Otoscope for Detection of Multiple Ear Diseases in Daily Life. MobiSys, 2022. PDF.
2. Obuchi, Mikio, Jeremy F. Huckins, Weichen Wang, Alex daSilva, Courtney Rogers, Eilis Murphy, Elin Hedlund, Paul Holtzheimer, Shayan Mirjafari, and Andrew Campbell. Predicting Brain Functional Connectivity Using Mobile Sensing. IMWUT 2020. PDF.
3. Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao. PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones. MobiSys, 2023. PDF.

23rd November: Mobile and Wearable Systems for Sustainability.

1. Bhawana Chhaglani, Camellia Zakaria, Adam Lechowicz, Prashant Shenoy, Jeremy Gummeson. FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing. IMMUT 2022. PDF.
2. Faris A. Almalki, Ben Othman Soufiene, Saeed H. Alsamhi, Hedi Sakli. A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on IoT and UAVs. Sustainability, 2021. PDF.
3. Balz Maag, Zimu Zhou, Lothar Thiele. W-Air: Enabling Personal Air Pollution Monitoring on Wearables. IMMUT 2018. PDF.
4. Chu Cao, Zhidan Liu, Mo Li, Wenqiang Wang, Zheng Qin. Walkway Discovery from Large Scale Crowdsensing. IPSN 2018. PDF.