research-article

SonicID: User Identification on Smart Glasses with Acoustic Sensing

Authors:

Devansh Agarwal,

François Guimbretiěre,

Cheng ZhangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 8, Issue 4

Article No.: 169, Pages 1 - 27

https://doi.org/10.1145/3699734

Published: 21 November 2024 Publication History

Abstract

Smart glasses have become more prevalent as they provide an increasing number of applications for users. They store various types of private information or can access it via connections established with other devices. Therefore, there is a growing need for user identification on smart glasses. In this paper, we introduce a low-power and minimally-obtrusive system called SonicID, designed to authenticate users on glasses. SonicID extracts unique biometric information from users by scanning their faces with ultrasonic waves and utilizes this information to distinguish between different users, powered by a customized binary classifier with the ResNet-18 architecture. SonicID can authenticate users by scanning their face for 0.06 seconds. A user study involving 40 participants confirms that SonicID achieves a true positive rate of 97.4%, a false positive rate of 4.3%, and a balanced accuracy of 96.6% using just 1 minute of training data collected for each new user. This performance is relatively consistent across different remounting sessions and days. Given this promising performance, we further discuss the potential applications of SonicID and methods to improve its performance in the future.

References

[1]

[n. d.]. Nymi. https://www.nymi.com/nymi-band

[2]

Mohamed Abdelhamid. 2021. Fitness Tracker Information and Privacy Management: Empirical Study. Journal of Medical Internet Research 23 (2021).

[3]

Takashi Amesaka, Hiroki Watanabe, Masanori Sugimoto, Yuta Sugiura, and Buntarou Shizuki. 2023. User Authentication Method for Hearables Using Sound Leakage Signals. In Proceedings of the 2023 ACM International Symposium on Wearable Computers (Cancun, Quintana Roo, Mexico) (ISWC '23). Association for Computing Machinery, New York, NY, USA, 119--123. https://doi.org/10.1145/ 3594738.3611376

Digital Library

[4]

Apple. 2024. About Face ID advanced technology. Retrieved Feb 1, 2024 from https://support.apple.com/en-us/102381

[5]

Adam J. Aviv, Katherine Gibson, Evan Mossop, Matt Blaze, and Jonathan M. Smith. 2010. Smudge Attacks on Smartphone Touch Screens. In 4th USENIX Workshop on Offensive Technologies (WOOT 10). USENIX Association, Washington, DC. https://www.usenix.org/conference/woot10/smudge-attacks-smartphone-touch-screens

[6]

Daniel V Bailey, Markus Dürmuth, and Christof Paar. 2014. Typing passwords with voice recognition: How to authenticate to Google Glass. In Proc. of the Symposium on Usable Privacy and Security. 1--2.

[7]

C Beumier and M Acheroy. 2000. Automatic 3D face authentication. Image and Vision Computing 18, 4 (2000), 315--321. https://doi.org/10.1016/S0262-8856(99)00052-9

[8]

M. Bicego, A. Lagorio, E. Grosso, and M. Tistarelli. 2006. On the Use of SIFT Features for Face Authentication. In 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06). 35--35. https://doi.org/10.1109/CVPRW.2006.149

Digital Library

[9]

Pan Chan, Tzipora Halevi, and Nasir Memon. 2015. Glass OTP: Secure and Convenient User Authentication on Google Glass. In Financial Cryptography and Data Security, Michael Brenner, Nicolas Christin, Benjamin Johnson, and Kurt Rohloff (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 298--308.

[10]

Jagmohan Chauhan, Yining Hu, Suranga Seneviratne, Archan Misra, Aruna Prasad Seneviratne, and Youngki Lee. 2017. BreathPrint: Breathing Acoustics-based User Authentication. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services (2017).

Digital Library

[11]

Cory Cornelius, Ronald Peterson, Joseph Skinner, Ryan Halter, and David Kotz. 2014. A wearable system that knows who wears it (MobiSys '14). Association for Computing Machinery, New York, NY, USA, 55--67. https://doi.org/10.1145/2594368.2594369

Digital Library

[12]

John G. Daugman. 1994. Biometric personal identification system based on iris analysis. US Patent 5,291,560 (1994).

[13]

Alexander De Luca, Alina Hang, Frederik Brudy, Christian Lindner, and Heinrich Hussmann. 2012. Touch me once and i know it's you! implicit authentication based on touch screen patterns. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI '12). Association for Computing Machinery, New York, NY, USA, 987--996. https://doi.org/10.1145/2207676.2208544

Digital Library

[14]

Analog Devices. 2024. MAX78002. Retrieved Jul 29, 2024 from https://www.analog.com/en/products/max78002.html#part-details

[15]

Quang Do, Ben Martini, and Kim-Kwang Raymond Choo. 2017. Is the data on your wearable device secure? An Android Wear smartwatch case study. Software: Practice and Experience 47 (2017), 391 - 403. https://api.semanticscholar.org/CorpusID:30963224

Digital Library

[16]

Di Duan, Zehua Sun, Tao Ni, Shuaicheng Li, Xiaohua Jia, Weitao Xu, and Tianxing Li. 2024. F2Key: Dynamically Converting Your Face into a Private Key Based on COTS Headphones for Reliable Voice Interaction. In Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services (Minato-ku, Tokyo, Japan) (MOBISYS '24). Association for Computing Machinery, New York, NY, USA, 127--140. https://doi.org/10.1145/3643832.3661860

Digital Library

[17]

Nguyen Minh Duc and Bui Quang Minh. 2009. Your face is not your password face authentication bypassing lenovo-asus-toshiba. Black Hat Briefings 4 (2009), 158.

[18]

Yang Gao, Wei Wang, Vir V. Phoha, Wei Sun, and Zhanpeng Jin. 2019. EarEcho: Using Ear Canal Echo for Wearable Authentication. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 3, Article 81 (sep 2019), 24 pages. https://doi.org/10.1145/3351239

Digital Library

[19]

Carl Howard, Colin Hansen, and A Zander. 2005. A review of current airborne ultrasound exposure limits. The Journal of Occupational Health and Safety - Australia and New Zealand 21 (01 2005), 253--257.

[20]

Jun Ho Huh, Hyejin Shin, HongMin Kim, Eunyong Cheon, Youngeun Song, Choong-Hoon Lee, and Ian Oakley. 2023. WristAcoustic: Through-Wrist Acoustic Response Based Authentication for Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 4, Article 167 (jan 2023), 34 pages. https://doi.org/10.1145/3569473

Digital Library

[21]

MD. Rasel Islam, Doyoung Lee, Liza Suraiya Jahan, and Ian Oakley. 2018. GlassPass: Tapping Gestures to Unlock Smart Glasses. In Proceedings of the 9th Augmented Human International Conference (Seoul, Republic of Korea) (AH '18). Association for Computing Machinery, New York, NY, USA, Article 16, 8 pages. https://doi.org/10.1145/3174910.3174936

Digital Library

[22]

Kaito Isobe and Kazuya Murao. 2023. Personal Identification Method using Active Acoustic Sensing applied to the Nose pad of Eyeglasses. In Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers (Cambridge, United Kingdom) (UbiComp/ISWC '22 Adjunct). Association for Computing Machinery, New York, NY, USA, 345--348. https://doi.org/10.1145/3544793.3560400

Digital Library

[23]

Chauhan Jagmohan, Hassan Asghar, Anirban Mahanti, and Dali Kaafar. 2016. Gesture-Based Continuous Authentication for Wearable Devices: The Smart Glasses Use Case. 648--665. https://doi.org/10.1007/978-3-319-39555-5_35

[24]

Ian Jermyn, Alain Mayer, Fabian Monrose, Michael K. Reiter, and Aviel Rubin. 1999. The Design and Analysis of Graphical Passwords. In 8th USENIX Security Symposium (USENIX Security 99). USENIX Association, Washington, D.C. https://www.usenix.org/conference/8th-usenix-security-symposium/design-and-analysis-graphical-passwords

[25]

Amy K. Karlson, A.J. Bernheim Brush, and Stuart Schechter. 2009. Can i borrow your phone? understanding concerns when sharing mobile phones. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, MA, USA) (CHI '09). Association for Computing Machinery, New York, NY, USA, 1647--1650. https://doi.org/10.1145/1518701.1518953

Digital Library

[26]

Yohei Kawasaki and Yuta Sugiura. 2022. Personal Identification and Authentication Using Blink with Smart Glasses. In 2022 61st Annual Conference of the Society of Instrument and Control Engineers (SICE). 1251--1256. https://doi.org/10.23919/SICE56594.2022.9905842

[27]

Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee. 2021. Usable User Authentication on a Smartwatch using Vibration. In Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (Virtual Event, Republic of Korea) (CCS '21). Association for Computing Machinery, New York, NY, USA, 304--319. https://doi.org/10.1145/3460120.3484553

Digital Library

[28]

Lenovo. 2024. ThinkReality A3 Smart Glasses. Retrieved Jan 17, 2024 from https://www.lenovo.com/us/en/p/smart-devices/virtual-reality/thinkreality-a3/wmd00000500

[29]

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 (Washington D.C., DC, USA) (ACM MobiCom '24). Association for Computing Machinery, New York, NY, USA, 497--512. https://doi.org/10.1145/3636534.3649376

Digital Library

[30]

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 (Honolulu, HI, USA) (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 319, 24 pages. https://doi.org/10.1145/3613904.3642613

Digital Library

[31]

Ke Li, Ruidong Zhang, Bo Liang, François Guimbretiere, 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 (jul 2022), 24 pages. https://doi.org/10.1145/3534621

Digital Library

[32]

Yan Li, Yao Cheng, Weizhi Meng, Yingjiu Li, and Robert H. Deng. 2021. Designing Leakage-Resilient Password Entry on Head-Mounted Smart Wearable Glass Devices. IEEE Transactions on Information Forensics and Security 16 (2021), 307--321. https://doi.org/10.1109/TIFS.2020.3013212

[33]

Yunghui Li and Huang Po-Jen. 2017. An Accurate and Efficient User Authentication Mechanism on Smart Glasses Based on Iris Recognition. Mobile Information Systems 2017 (07 2017), 1--14. https://doi.org/10.1155/2017/1281020

[34]

Hyunchul Lim, Guilin Hu, Richard Jin, Hao Chen, Ryan Mao, Ruidong Zhang, and Cheng Zhang. 2023. C-Auth: Exploring the Feasibility of Using Egocentric View of Face Contour for User Authentication on Glasses. In Proceedings of the 2023 ACM International Symposium on Wearable Computers (Cancun, Quintana Roo, Mexico) (ISWC '23). Association for Computing Machinery, New York, NY, USA, 6--10. https://doi.org/10.1145/3594738.3611355

Digital Library

[35]

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 (sep 2023), 28 pages. https://doi.org/10.1145/3610895

Digital Library

[36]

Maryam Naseer Malik, Muhammad Awais Azam, Muhammad Ehatisham-Ul-Haq, Waleed Ejaz, and Asra Khalid. 2019. ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities. Sensors 19, 11 (2019). https://doi.org/10.3390/s19112466

[37]

Sébastien Marcel, Chris Mccool, Cosmin Atanasoaei, Flavio Tarsetti, Jan Pesan, Pavel Matejka, Jan Cernocky, Mika Helistekangas, and Markus Turtinen. 2010. MOBIO: Mobile Biometric Face and Speaker Authentication. (01 2010).

[38]

Meta. 2024. Ray-Ban Meta Smart Glasses. Retrieved Jan 17, 2024 from https://www.ray-ban.com/usa/ray-ban-meta-smart-glasses?cid=PM-SGA_000000-1.US-RayBanStories-EN-B-Related-Exact_RayBan%26Facebook_Related_Meta+smart+glasses&s_kwcid=AL!16196!3!676854207500!e!!g!!meta%20smart%20glasses!15590003234!133748971840&gad_source=1&gclid=CjwKCAiAkp6tBhB5EiwANTCx1B7MGSwjuu82g3hU5VUdn46SBbLT3IU-C5WVAOiqcdn02Ni1nfNWeRoCJ0oQAvD_BwE&gclsrc=aw.ds

[39]

Douglas Nelson, Valerie Reed, and John Walling. 1976. Pictorial superiority effect. Journal of experimental psychology Human learning and memory 2 (09 1976), 523--8. https://doi.org/10.1037/0278-7393.2.5.523

[40]

The Department of Homeland Security. 2024. Biometrics. Retrieved Feb 1, 2024 from https://www.dhs.gov/biometrics#:~:text=Biometrics%20are%20unique%20physical%20characteristics,be%20used%20for%20automated%20recognition.

[41]

Aleksandr Ometov, Viktoriia Shubina, Lucie Klus, Justyna Skibinska, Salwa Saafi, Pavel Pascacio, Laura Flueratoru, Darwin Quezada-Gaibor, Nadezhda Chukhno, Olga Chukhno, Asad Ali, Asma Channa, Ekaterina Svertoka, Waleed Bin Qaim, Raúl Casanova Marqués, Sylvia Holcer, Joaquín Torres-Sospedra, Sven Casteleyn, Giuseppe Ruggeri, Giuseppe Araniti, Radim Burget, Jiri Hosek, and Elena Simona Lohan. 2021. A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges. Comput. Networks 193 (2021), 108074.

[42]

Ge Peng, Gang Zhou, David T. Nguyen, Xin Qi, Qing Yang, and Shuangquan Wang. 2017. Continuous Authentication With Touch Behavioral Biometrics and Voice on Wearable Glasses. IEEE Transactions on Human-Machine Systems 47, 3 (2017), 404--416. https://doi.org/10.1109/THMS.2016.2623562

[43]

Joanna Rokita, Adam Krzyżak, and C. Y. Suen. 2008. Cell Phones Personal Authentication Systems Using Multimodal Biometrics. In Image Analysis and Recognition, Aurélio Campilho and Mohamed Kamel (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 1013--1022.

[44]

Jessica Sehrt, Feng Yi Lu, Leonard Husske, Anton Roesler, and Valentin Schwind. 2022. WristConduct: Biometric User Authentication Using Bone Conduction at the Wrist. In Proceedings of Mensch Und Computer 2022 (Darmstadt, Germany) (MuC '22). Association for Computing Machinery, New York, NY, USA, 371--375. https://doi.org/10.1145/3543758.3547542

Digital Library

[45]

Muhammad Shahzad and Munindar P. Singh. 2017. Continuous Authentication and Authorization for the Internet of Things. IEEE Internet Computing 21, 2 (2017), 86--90. https://doi.org/10.1109/MIC.2017.33

Digital Library

[46]

Yubo Shao, Tinghan Yang, He Wang, and Jianzhu Ma. 2020. AirSign: Smartphone Authentication by Signing in the Air. Sensors (Basel, Switzerland) 21 (2020).

[47]

Zdeňka Sitová, Jaroslav Šeděnka, Qing Yang, Ge Peng, Gang Zhou, Paolo Gasti, and Kiran S. Balagani. 2016. HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users. IEEE Transactions on Information Forensics and Security 11, 5 (2016), 877--892. https://doi.org/10.1109/TIFS.2015.2506542

Digital Library

[48]

Snap. 2024. The Next Generation of Spectacles. Retrieved Jan 31, 2024 from https://www.spectacles.com/

[49]

Lionel Standing. 1973. Learning 10,000 Pictures. The Quarterly journal of experimental psychology 25 (06 1973), 207--22. https://doi.org/10.1080/14640747308400340

[50]

Apple Support. 2024. About Face ID advanced technology. Retrieved Oct 24, 2024 from https://support.apple.com/en-us/102381

[51]

Apple Support. 2024. Use Touch ID on iPhone and iPad. Retrieved Oct 24, 2024 from https://support.apple.com/en-us/102528

[52]

Furkan Tari, A. Ant Ozok, and Stephen H. Holden. 2006. A comparison of perceived and real shoulder-surfing risks between alphanumeric and graphical passwords. In Proceedings of the Second Symposium on Usable Privacy and Security (Pittsburgh, Pennsylvania, USA) (SOUPS '06). Association for Computing Machinery, New York, NY, USA, 56--66. https://doi.org/10.1145/1143120.1143128

Digital Library

[53]

Muhammad Ehatisham ul Haq, Muhammad Awais Azam, Jonathan Kok-Keng Loo, Kai Shuang, Syed Islam, Usman Naeem, and Yasar Amin. 2017. Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing. Sensors (Basel, Switzerland) 17 (2017).

[54]

Imdadullah Hidayat ur Rehman, Arshad Ahmad, Fahim Akhter, and Mohd Ziaur Rehman. 2022. Examining Consumers' Adoption of Smart Wearable Payments. SAGE Open 12, 3 (2022), 21582440221117796. https://doi.org/10.1177/21582440221117796

[55]

Vuzix. 2024. Vuzix Smart Glasses. Retrieved Jan 31, 2024 from https://www.vuzix.com/pages/smart-glasses

[56]

Tianben Wang, Daqing Zhang, Yuanqing Zheng, Tao Gu, Xingshe Zhou, and Bernadette Dorizzi. 2018. C-FMCW Based Contactless Respiration Detection Using Acoustic Signal. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4, Article 170 (jan 2018), 20 pages. https://doi.org/10.1145/3161188

Digital Library

[57]

Zi Wang, Yili Ren, Yingying Chen, and Jie Yang. 2022. ToothSonic: Earable Authentication via Acoustic Toothprint. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 78 (jul 2022), 24 pages. https://doi.org/10.1145/3534606

Digital Library

[58]

Zi Wang, Sheng Tan, Linghan Zhang, Yili Ren, Zhi Wang, and Jie Yang. 2021. EarDynamic: An Ear Canal Deformation Based Continuous User Authentication Using In-Ear Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 1, Article 39 (mar 2021), 27 pages. https://doi.org/10.1145/3448098

Digital Library

[59]

Hiroki Watanabe, Hiroaki Kakizawa, and Masanori Sugimoto. 2021. User Authentication Method Using Active Acoustic Sensing. Journal of Information Processing 29 (01 2021), 370--379. https://doi.org/10.2197/ipsjjip.29.370

[60]

Yuli Wu and Jing He. 2023. EarAE: An Autoencoder based User Authentication using Earphones. In 2023 IEEE/CIC International Conference on Communications in China (ICCC). 1--6. https://doi.org/10.1109/ICCC57788.2023.10233591

[61]

Wentao Xie, Qian Zhang, and Jin Zhang. 2021. Acoustic-Based Upper Facial Action Recognition for Smart Eyewear. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 5. Article 41, 28 pages. https://doi.org/10.1145/3448105

Digital Library

[62]

Dhruv Kumar Yadav, Beatrice Ionascu, Sai Vamsi Krishna Ongole, Aditi Roy, and Nasir Memon. 2015. Design and Analysis of Shoulder Surfing Resistant PIN Based Authentication Mechanisms on Google Glass. In Financial Cryptography and Data Security, Michael Brenner, Nicolas Christin, Benjamin Johnson, and Kurt Rohloff (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 281--297.

[63]

Linghan Zhang, Sheng Tan, and Jie Yang. 2017. Hearing Your Voice is Not Enough: An Articulatory Gesture Based Liveness Detection for Voice Authentication (CCS '17). Association for Computing Machinery, New York, NY, USA, 57--71. https://doi.org/10.1145/3133956.3133962

Digital Library

[64]

Linghan Zhang, Sheng Tan, Jie Yang, and Yingying Chen. 2016. VoiceLive: A Phoneme Localization based Liveness Detection for Voice Authentication on Smartphones. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security (Vienna, Austria) (CCS 16). Association for Computing Machinery, New York, NY, USA, 1080--1091. https://doi.org/10.1145/2976749.2978296

Digital Library

[65]

Shijia Zhang, Taiting Lu, Hao Zhou, Yilin Liu, Runze Liu, and Mahanth Gowda. 2023. I Am an Earphone and I Can Hear My Users Face: Facial Landmark Tracking Using Smart Earphones. ACM Trans. Internet Things (TIOT) (Aug 2023). https://doi.org/10.1145/3614438

Digital Library

[66]

Yongtou Zhang, Wen Hu, Weitao Xu, Chun Tung Chou, and Jiankun Hu. 2018. Continuous Authentication Using Eye Movement Response of Implicit Visual Stimuli. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4, Article 177 (jan 2018), 22 pages. https://doi.org/10.1145/3161410

Digital Library

[67]

Tianming Zhao, Yan Wang, Jian Liu, Yingying Chen, Jerry Cheng, and Jiadi Yu. 2020. TrueHeart: Continuous Authentication on Wrist-worn Wearables Using PPG-based Biometrics. In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications. 30--39. https://doi.org/10.1109/INFOCOM41043.2020.9155526

Digital Library

[68]

Bing Zhou, Jay Lohokare, Ruipeng Gao, and Fan Ye. 2018. EchoPrint: Two-factor Authentication using Acoustics and Vision on Smartphones. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (New Delhi, India) (MobiCom '18). Association for Computing Machinery, New York, NY, USA, 321--336. https://doi.org/10.1145/3241539.3241575

Digital Library

[69]

Qin Zou, Yanling Wang, Qian Wang, Yi Zhao, and Qingquan Li. 2020. Deep Learning-Based Gait Recognition Using Smartphones in the Wild. arXiv:1811.00338 [cs.LG]

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Bian HGuo BLiu SDing YGao SYu Z(2024)UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous DevicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997718:4(1-26)Online publication date: 21-Nov-2024
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Chang ZZhang FMa XWang PChen WZhang DJouaber BZhang D(2024)MmECare: Enabling Fine-grained Vital Sign Monitoring for Emergency Care with Handheld MmWave RadarsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997668:4(1-24)Online publication date: 21-Nov-2024
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Index Terms

SonicID: User Identification on Smart Glasses with Acoustic Sensing
1. Hardware
  1. Power and energy
2. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 8, Issue 4

December 2024

1788 pages

EISSN:2474-9567

DOI:10.1145/3705705

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Published: 21 November 2024

Published in IMWUT Volume 8, Issue 4

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Cited By

Bian HGuo BLiu SDing YGao SYu Z(2024)UbiHR: Resource-efficient Long-range Heart Rate Sensing on Ubiquitous DevicesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997718:4(1-26)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699771
Chang ZZhang FMa XWang PChen WZhang DJouaber BZhang D(2024)MmECare: Enabling Fine-grained Vital Sign Monitoring for Emergency Care with Handheld MmWave RadarsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997668:4(1-24)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699766
Pang MLi KWang XWang WCheng WLiu DYin YChen P(2024)DEWS: A Distributed Measurement Scheme for Efficient Wireless SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997288:4(1-34)Online publication date: 21-Nov-2024
https://dl.acm.org/doi/10.1145/3699728
Khedkar MSchlichtig MBodden EFilkov VRay BZhou M(2024)Advancing Android Privacy Assessments with AutomationProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops10.1145/3691621.3694953(218-222)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691621.3694953
Khedkar MMondal ABodden EFilkov VRay BZhou M(2024)Do Android App Developers Accurately Report Collection of Privacy-Related Data?Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops10.1145/3691621.3694949(176-186)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691621.3694949
Parikh VMahmud SAgarwal DLi KGuimbretière FZhang CKostakos VKay JHoang T(2024)EchoGuide: Active Acoustic Guidance for LLM-Based Eating Event Analysis from Egocentric VideosProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676611(40-47)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676611

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