Recommended citation: Ke Li, Devansh Agarwal, Ruidong Zhang, Vipin Gunda, Tianjun Mo, Saif Mahmud, Boao Chen, François Guimbretière, and Cheng Zhang. 2024. SonicID: User Identification on Smart Glasses with Acoustic Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 169 (November 2024), 27 pages. https://dl.acm.org/doi/10.1145/3699734
Recommended citation: Saif Mahmud, Vineet Parikh, Qikang Liang, Ke Li, Ruidong Zhang, Ashwin Ajit, Vipin Gunda, Devansh Agarwal, François Guimbretière, and Cheng Zhang. 2024. ActSonic: Recognizing Everyday Activities from Inaudible Acoustic Waves Around the Body. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 183 (November 2024), 32 pages. https://dl.acm.org/doi/10.1145/3699752
Recommended citation: Tianhong Catherine Yu, Guilin Hu, Ruidong Zhang, Hyunchul Lim, Saif Mahmud, Chi-Jung Lee, Ke Li, Devansh Agarwal, Shuyang Nie, Jinseok Oh, François Guimbretière, and Cheng Zhang. 2024. Ring-a-Pose: A Ring for Continuous Hand Pose Tracking. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 189 (November 2024), 30 pages. https://dl.acm.org/doi/10.1145/3699741
Recommended citation: Vineet Parikh, Saif Mahmud, Devansh Agarwal, Ke Li, François Guimbretière, and Cheng Zhang. 2024. EchoGuide: Active Acoustic Guidance for LLM-Based Eating Event Analysis from Egocentric Videos. In Proceedings of the 2024 ACM International Symposium on Wearable Computers (ISWC). Association for Computing Machinery, New York, NY, USA, 40–47. https://dl.acm.org/doi/10.1145/3675095.3676611
Recommended citation: H Y. Ooi, C. Zhang, K. Li, J. Narins, H. Sarva. AI-Powered Eyewear for Routine Facial Expression Analysis in Parkinson’s Disease: Study design and goals. Mov Disord. 2024; 39 (suppl 1). https://www.mdsabstracts.org/abstract/ai-powered-eyewear-for-routine-facial-expression-analysis-in-parkinsons-disease-study-design-and-goals/
Recommended citation: Ke Li, Ruidong Zhang, Boao Chen, Siyuan Chen, Sicheng Yin, Saif Mahmud, Qikang Liang, Francois Guimbretiere, and Cheng Zhang. 2024. GazeTrak: Exploring Acoustic-based Eye Tracking on a Glass Frame. In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom). Association for Computing Machinery, New York, NY, USA, 497–512. https://dl.acm.org/doi/10.1145/3636534.3649376
Recommended citation: Ke Li, Ruidong Zhang, Siyuan Chen, Boao Chen, Mose Sakashita, Francois Guimbretiere, and Cheng Zhang. 2024. EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 319, 1–24. https://dl.acm.org/doi/10.1145/3613904.3642613
Recommended citation: Chi-Jung Lee (Co-Primary), Ruidong Zhang (Co-Primary), Devansh Agarwal, Tianhong Catherine Yu, Vipin Gunda, Oliver Lopez, James Kim, Sicheng Yin, Boao Dong, Ke Li, Mose Sakashita, Francois Guimbretiere, and Cheng Zhang. 2024. EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a Wristband. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 403, 1–21. https://dl.acm.org/doi/10.1145/3613904.3642910
Recommended citation: Ruidong Zhang, Hao Chen, Devansh Agarwal, Richard Jin, Ke Li, François Guimbretière, and Cheng Zhang. 2023. HPSpeech: Silent Speech Interface for Commodity Headphones. In Proceedings of the 2023 ACM International Symposium on Wearable Computers (ISWC). Association for Computing Machinery, New York, NY, USA, 60–65. https://dl.acm.org/doi/10.1145/3594738.3611365
Recommended citation: Rujia Sun, Xiaohe Zhou, Benjamin Steeper, Ruidong Zhang, Sicheng Yin, Ke Li, Shengzhang Wu, Sam Tilsen, Francois Guimbretiere, and Cheng Zhang. 2023. EchoNose: Sensing Mouth, Breathing and Tongue Gestures inside Oral Cavity using a Non-contact Nose Interface. In Proceedings of the 2023 ACM International Symposium on Wearable Computers (ISWC). Association for Computing Machinery, New York, NY, USA, 22–26. https://dl.acm.org/doi/10.1145/3594738.3611358
Recommended citation: Saif Mahmud, Ke Li, Guilin Hu, Hao Chen, Richard Jin, Ruidong Zhang, François Guimbretière, and Cheng Zhang. 2023. PoseSonic: 3D Upper Body Pose Estimation Through Egocentric Acoustic Sensing on Smartglasses. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 3, Article 111 (September 2023), 28 pages. https://dl.acm.org/doi/10.1145/3610895
Recommended citation: Ruidong Zhang, Ke Li, Yihong Hao, Yufan Wang, Zhengnan Lai, François Guimbretière, and Cheng Zhang. 2023. EchoSpeech: Continuous Silent Speech Recognition on Minimally-obtrusive Eyewear Powered by Acoustic Sensing. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 852, 1–18. https://doi.org/10.1145/3544548.3580801
Recommended citation: Ke Li, Ruidong Zhang, Bo Liang, François Guimbretière, and Cheng Zhang. 2022. EarIO: A Low-power Acoustic Sensing Earable for Continuously Tracking Detailed Facial Movements. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 62 (July 2022), 24 pages. https://doi.org/10.1145/3534621
Recommended citation: Jingxian Wang (Co-Primary), Junbo Zhang (Co-Primary), Ke Li, Chengfeng Pan, Carmel Majidi, and Swarun Kumar. 2021. Locating Everyday Objects using NFC Textiles. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) (IPSN). Association for Computing Machinery, New York, NY, USA, 15–30. https://dl.acm.org/doi/10.1145/3412382.3458254
Recommended citation: K. Li, X. Gao, F. Wu and G. Chen, "A Constant Factor Approximation for d -Hop Connected Dominating Set in Three-Dimensional Wireless Networks," in IEEE Transactions on Wireless Communications, vol. 18, no. 9, pp. 4357-4367, Sept. 2019. https://ieeexplore.ieee.org/document/8765348
Recommended citation: Ke Li, Haowei Huang, Xiaofeng Gao, Fan Wu, and Guihai Chen. 2019. QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space. In Proceedings of the 48th International Conference on Parallel Processing (ICPP). Association for Computing Machinery, New York, NY, USA, Article 105, 1–10. https://dl.acm.org/doi/10.1145/3337821.3337926