Ring-a-Pose: A Ring for Continuous Hand Pose Tracking
Authors: 
Tianhong Catherine Yu, 
Guilin Hu, 
Ruidong Zhang, Hyunchul Lim, 
Saif Mahmud, Chi-Jung Lee, 
Ke Li, Devansh Agarwal, Shuyang Nie, Jinseok Oh, 
François Guimbretière, 
Cheng ZhangAuthors Info & Claims
Article No.: 189, Pages 1 - 30
Abstract
We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses. Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand pose reflects differently. Ring-a-Pose imposes minimal obtrusions on the hand, unlike multi-ring or glove systems. It is not affected by the choice of clothing that may cover wrist-worn systems. In a series of three user studies with a total of 36 participants, we evaluate Ring-a-Pose's performance on pose tracking and micro-finger gesture recognition. Without collecting any training data from a user, Ring-a-Pose tracks continuous hand poses with a joint error of 14.1mm. The joint error decreases to 10.3mm for fine-tuned user-dependent models. Ring-a-Pose recognizes 7-class micro-gestures with a 90.60% and 99.27% accuracy for user-independent and user-dependent models, respectively. Furthermore, the ring exhibits promising performance when worn on any finger. Ring-a-Pose enables the future of smart rings to track and recognize hand poses using relatively low-power acoustic sensing.
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References
[1]
Apple. 2023. Apple Vision Pro. https://www.apple.com/apple-vision-pro/.
[2]
Apple. 2023. Apple Watch Series 9. https://www.apple.com/shop/buy-watch/apple-watch.
[3]
Yin Bi, Mingsong Lv, Chen Song, Wenyao Xu, Nan Guan, and Wang Yi. 2015. AutoDietary: A wearable acoustic sensor system for food intake recognition in daily life. IEEE Sensors Journal 16, 3 (2015), 806--816.
[4]
Roger Boldu, Alexandru Dancu, Denys JC Matthies, Pablo Gallego Cascón, Shanaka Ransir, and Suranga Nanayakkara. 2018. Thumb-In-Motion: Evaluating Thumb-to-Ring Microgestures for Athletic Activity. In Proceedings of the 2018 ACM Symposium on Spatial User Interaction. 150--157.
[5]
Gaoshuai Cao, Kuang Yuan, Jie Xiong, Panlong Yang, Yubo Yan, Hao Zhou, and Xiang-Yang Li. 2020. Earphonetrack: involving earphones into the ecosystem of acoustic motion tracking. In Proceedings of the 18th Conference on Embedded Networked Sensor Systems. 95--108.
[6]
Edwin Chan, Teddy Seyed, Wolfgang Stuerzlinger, Xing-Dong Yang, and Frank Maurer. 2016. User elicitation on single-hand microgestures. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 3403--3414.
[7]
Liwei Chan, Yi-Ling Chen, Chi-Hao Hsieh, Rong-Hao Liang, and Bing-Yu Chen. 2015. Cyclopsring: Enabling whole-hand and context-aware interactions through a fisheye ring. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. 549--556.
[8]
Liwei Chan, Rong-Hao Liang, Ming-Chang Tsai, Kai-Yin Cheng, Chao-Huai Su, Mike Y Chen, Wen-Huang Cheng, and Bing-Yu Chen. 2013. FingerPad: private and subtle interaction using fingertips. In Proceedings of the 26th annual ACM symposium on User interface software and technology. 255--260.
[9]
Taizhou Chen, Tianpei Li, Xingyu Yang, and Kening Zhu. 2023. EFRing: Enabling Thumb-to-Index-Finger Microgesture Interaction through Electric Field Sensing Using Single Smart Ring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 4 (2023), 1--31.
[10]
James Connolly, Joan Condell, Brendan O'Flynn, Javier Torres Sanchez, and Philip Gardiner. 2017. IMU sensor-based electronic goniometric glove for clinical finger movement analysis. IEEE Sensors Journal 18, 3 (2017), 1273--1281.
[11]
Artem Dementyev and Joseph A. Paradiso. 2014. WristFlex: Low-Power Gesture Input with Wrist-Worn Pressure Sensors. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology (Honolulu, Hawaii, USA) (UIST '14). Association for Computing Machinery, New York, NY, USA, 161--166. https://doi.org/10.1145/2642918.2647396
[12]
Nathan Devrio and Chris Harrison. 2022. DiscoBand: Multiview Depth-Sensing Smartwatch Strap for Hand, Body and Environment Tracking. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 1--13.
[13]
Bogdan-Florin Gheran, Jean Vanderdonckt, and Radu-Daniel Vatavu. 2018. Gestures for smart rings: Empirical results, insights, and design implications. In Proceedings of the 2018 Designing Interactive Systems Conference. 623--635.
[14]
Bogdan-Florin Gheran, Radu-Daniel Vatavu, and Jean Vanderdonckt. 2023. New Insights into User-Defined Smart Ring Gestures with Implications for Gesture Elicitation Studies. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1--8.
[15]
Oliver Glauser, Shihao Wu, Daniele Panozzo, Otmar Hilliges, and Olga Sorkine-Hornung. 2019. Interactive hand pose estimation using a stretch-sensing soft glove. ACM Transactions on Graphics (ToG) 38, 4 (2019), 1--15.
[16]
Jun Gong, Yang Zhang, Xia Zhou, and Xing-Dong Yang. 2017. Pyro: Thumb-tip gesture recognition using pyroelectric infrared sensing. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology. 553--563.
[17]
Yizheng Gu, Chun Yu, Zhipeng Li, Zhaoheng Li, Xiaoying Wei, and Yuanchun Shi. 2020. Qwertyring: Text entry on physical surfaces using a ring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (2020), 1--29.
[18]
Jeremy Gummeson, Bodhi Priyantha, and Jie Liu. 2014. An energy harvesting wearable ring platform for gestureinput on surfaces. In Proceedings of the 12th annual international conference on Mobile systems, applications, and services. 162--175.
[19]
Chris Harrison, Desney Tan, and Dan Morris. 2010. Skinput: appropriating the body as an input surface. In Proceedings of the SIGCHI conference on human factors in computing systems. 453--462.
[20]
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition. 770--778.
[21]
Masoumehsadat Hosseini, Tjado Ihmels, Ziqian Chen, Marion Koelle, Heiko Müller, and Susanne Boll. 2023. Towards a Consensus Gesture Set: A Survey of Mid-Air Gestures in HCI for Maximized Agreement Across Domains. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1--24.
[22]
Fang Hu, Peng He, Songlin Xu, Yin Li, and Cheng Zhang. 2020. FingerTrak: Continuous 3D hand pose tracking by deep learning hand silhouettes captured by miniature thermal cameras on wrist. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 2 (2020), 1--24.
[23]
James N Ingram, Konrad P Körding, Ian S Howard, and Daniel M Wolpert. 2008. The statistics of natural hand movements. Experimental brain research 188 (2008), 223--236.
[24]
Yasha Iravantchi, Mayank Goel, and Chris Harrison. 2019. BeamBand: Hand gesture sensing with ultrasonic beamforming. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--10.
[25]
Yincheng Jin, Yang Gao, Xuhai Xu, Seokmin Choi, Jiyang Li, Feng Liu, Zhengxiong Li, and Zhanpeng Jin. 2022. EarCommand: "Hearing" Your Silent Speech Commands In Ear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 57 (jul 2022), 28 pages. https://doi.org/10.1145/3534613
[26]
Lei Jing, Zixue Cheng, Yinghui Zhou, Junbo Wang, and Tongjun Huang. 2013. Magic ring: A self-contained gesture input device on finger. In Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia. 1--4.
[27]
Wolf Kienzle, Eric Whitmire, Chris Rittaler, and Hrvoje Benko. 2021. ElectroRing: Subtle Pinch and Touch Detection with a Ring. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 3, 12 pages. https://doi.org/10.1145/3411764.3445094
[28]
Daehwa Kim and Chris Harrison. 2022. EtherPose: Continuous Hand Pose Tracking with Wrist-Worn Antenna Impedance Characteristic Sensing. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 1--12.
[29]
Chi-Jung Lee, Ruidong Zhang, Devansh Agarwal, Tianhong Catherine Yu, Vipin Gunda, Oliver Lopez, James Kim, Sicheng Yin, Boao Deng, 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. arXiv:2401.17409 [cs.HC]
[30]
Ke Li, Ruidong Zhang, Boao Chen, Siyuan Chen, Sicheng Yin, Saif Mahmud, Qikang Liang, François Guimbretière, and Cheng Zhang. 2024. GazeTrak: Exploring Acoustic-based Eye Tracking on a Glass Frame. arXiv preprint arXiv:2402.14634 (2024).
[31]
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 To Appear in Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. NA.
[32]
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. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 2 (2022), 1--24.
[33]
Yang Liu, Chengdong Lin, and Zhenjiang Li. 2021. WR-Hand: Wearable armband can track user's hand. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 3 (2021), 1--27.
[34]
Yilin Liu, Shijia Zhang, and Mahanth Gowda. 2021. NeuroPose: 3D hand pose tracking using EMG wearables. In Proceedings of the Web Conference 2021. 1471--1482.
[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. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, 3 (2023), 1--28.
[36]
Wenguang Mao, Jian He, and Lili Qiu. 2016. CAT: High-Precision Acoustic Motion Tracking. In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking (New York City, New York) (MobiCom '16). Association for Computing Machinery, New York, NY, USA, 69--81. https://doi.org/10.1145/2973750.2973755
[37]
Meta. 2023. Meta Quest VR Headsets, Accessories & Equipment: Meta Quest. https://www.meta.com/quest/.
[38]
Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, and Christian Theobalt. 2018. Ganerated hands for real-time 3d hand tracking from monocular rgb. In Proceedings of the IEEE conference on computer vision and pattern recognition. 49--59.
[39]
Suranga Nanayakkara, Roy Shilkrot, Kian Peen Yeo, and Pattie Maes. 2013. EyeRing: a finger-worn input device for seamless interactions with our surroundings. In Proceedings of the 4th Augmented Human International Conference. 13--20.
[40]
Viet Nguyen, Siddharth Rupavatharam, Luyang Liu, Richard Howard, and Marco Gruteser. 2019. HandSense: capacitive coupling-based dynamic, micro finger gesture recognition. In Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 285--297.
[41]
Shahriar Nirjon, Jeremy Gummeson, Dan Gelb, and Kyu-Han Kim. 2015. Typingring: A wearable ring platform for text input. In Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services. 227--239.
[42]
Masa Ogata, Yuta Sugiura, Hirotaka Osawa, and Michita Imai. 2012. iRing: intelligent ring using infrared reflection. In Proceedings of the 25th annual ACM symposium on User interface software and technology. 131--136.
[43]
OuraRing. 2023. Oura Ring, Oura Health Oy. https://ouraring.com.
[44]
Farshid Salemi Parizi, Eric Whitmire, and Shwetak Patel. 2019. Auraring: Precise electromagnetic finger tracking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 4 (2019), 1--28.
[45]
Michael Peters, Kevin Mackenzie, and Pam Bryden. 2002. Finger length and distal finger extent patterns in humans. American Journal of Physical Anthropology: The Official Publication of the American Association of Physical Anthropologists 117, 3 (2002), 209--217.
[46]
M Poongodi, Mounir Hamdi, Mohit Malviya, Ashutosh Sharma, Gaurav Dhiman, and S Vimal. 2022. Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods. Personal and ubiquitous computing (2022), 1--11.
[47]
Chen Qian, Xiao Sun, Yichen Wei, Xiaoou Tang, and Jian Sun. 2014. Realtime and Robust Hand Tracking from Depth. In 2014 IEEE Conference on Computer Vision and Pattern Recognition. 1106--1113. https://doi.org/10.1109/CVPR.2014.145
[48]
Ringly. 2023. Smart Jewelry and Accessories. https://ringly.com/.
[49]
RingPay. 2023. RingPay, McLEAR. https://mclear.com/product/payment-ring/.
[50]
Javier Romero, Dimitrios Tzionas, and Michael J Black. 2022. Embodied hands: Modeling and capturing hands and bodies together. arXiv preprint arXiv:2201.02610 (2022).
[51]
Sougata Sen and David Kotz. 2020. VibeRing: Using vibrations from a smart ring as an out-of-band channel for sharing secret keys. In Proceedings of the 10th International Conference on the Internet of Things. 1--8.
[52]
Adwait Sharma, Christina Salchow-Hömmen, Vimal Suresh Mollyn, Aditya Shekhar Nittala, Michael A Hedderich, Marion Koelle, Thomas Seel, and Jürgen Steimle. 2022. SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-Grained Finger Microgestures. ACM Transactions on Computer-Human Interaction (2022).
[53]
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. 22--26.
[54]
Wei Sun, Franklin Mingzhe Li, Congshu Huang, Zhenyu Lei, Benjamin Steeper, Songyun Tao, Feng Tian, and Cheng Zhang. 2021. Thumbtrak: Recognizing micro-finger poses using a ring with proximity sensing. In Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction. 1--9.
[55]
Wei Sun, Franklin Mingzhe Li, Benjamin Steeper, Songlin Xu, Feng Tian, and Cheng Zhang. 2021. Teethtap: Recognizing discrete teeth gestures using motion and acoustic sensing on an earpiece. In 26th International Conference on Intelligent User Interfaces. 161--169.
[56]
Ryo Takahashi, Masaaki Fukumoto, Changyo Han, Takuya Sasatani, Yoshiaki Narusue, and Yoshihiro Kawahara. 2020. TelemetRing: A Batteryless and Wireless Ring-Shaped Keyboard Using Passive Inductive Telemetry. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST '20). Association for Computing Machinery, New York, NY, USA, 1161--1168. https://doi.org/10.1145/3379337.3415873
[57]
Hoang Truong, Shuo Zhang, Ufuk Muncuk, Phuc Nguyen, Nam Bui, Anh Nguyen, Qin Lv, Kaushik Chowdhury, Thang Dinh, and Tam Vu. 2018. Capband: Battery-free successive capacitance sensing wristband for hand gesture recognition. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems. 54--67.
[58]
UltraLeap. 2023. World-leading Hand Tracking Products: Small. Fast. Accurate. / Ultraleap. Retrieved Sep 12, 2023 from https://www.ultraleap.com/product/
[59]
Radu-Daniel Vatavu. 2023. iFAD gestures: understanding users' gesture input performance with index-finger augmentation devices. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1--17.
[60]
Radu-Daniel Vatavu and Laura-Bianca Bilius. 2021. GestuRING: A web-based tool for designing gesture input with rings, ring-like, and ring-ready devices. In The 34th Annual ACM Symposium on User Interface Software and Technology. 710--723.
[61]
Vicon. 2023. Vicon | Award Winning Motion Capture Systems. https://www.vicon.com/.
[62]
Anandghan Waghmare, Youssef Ben Taleb, Ishan Chatterjee, Arjun Narendra, and Shwetak Patel. 2023. Z-Ring: Single-Point Bio-Impedance Sensing for Gesture, Touch, Object and User Recognition. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1--18.
[63]
Anandghan Waghmare, Ishan Chatterjee, and Shwetak Patel. 2023. Z-Pose: Continuous 3D Hand Pose Tracking Using Single-Point Bio-Impedance Sensing on a Ring. In Proceedings of the 2nd Workshop on Smart Wearable Systems and Applications. 1--6.
[64]
Anran Wang and Shyamnath Gollakota. 2019. Millisonic: Pushing the limits of acoustic motion tracking. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1--11.
[65]
Saiwen Wang, Jie Song, Jaime Lien, Ivan Poupyrev, and Otmar Hilliges. 2016. Interacting with soli: Exploring fine-grained dynamic gesture recognition in the radio-frequency spectrum. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology. 851--860.
[66]
Tianben Wang, Daqing Zhang, Yuanqing Zheng, Tao Gu, Xingshe Zhou, and Bernadette Dorizzi. 2018. C-FMCW based contactless respiration detection using acoustic signal. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 1--20.
[67]
Mathias Wilhelm, Daniel Krakowczyk, and Sahin Albayrak. 2020. PeriSense: Ring-based multi-finger gesture interaction utilizing capacitive proximity sensing. Sensors 20, 14 (2020), 3990.
[68]
Erwin Wu, Ye Yuan, Hui-Shyong Yeo, Aaron Quigley, Hideki Koike, and Kris M Kitani. 2020. Back-hand-pose: 3d hand pose estimation for a wrist-worn camera via dorsum deformation network. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology. 1147--1160.
[69]
Koji Yatani and Khai N Truong. 2012. Bodyscope: a wearable acoustic sensor for activity recognition. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing. 341--350.
[70]
Hui-Shyong Yeo, Erwin Wu, Juyoung Lee, Aaron Quigley, and Hideki Koike. 2019. Opisthenar: Hand poses and finger tapping recognition by observing back of hand using embedded wrist camera. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. 963--971.
[71]
Boning Zhang, Yiqiang Chen, Yueliang Qian, and Xiangdong Wang. 2011. A Ring-Shaped Interactive Device for Large Remote Display and Mobile Device Control. In Proceedings of the 13th International Conference on Ubiquitous Computing (Beijing, China) (UbiComp '11). Association for Computing Machinery, New York, NY, USA, 473--474. https://doi.org/10.1145/2030112.2030177
[72]
Cheng Zhang, Anandghan Waghmare, Pranav Kundra, Yiming Pu, Scott Gilliland, Thomas Ploetz, Thad E Starner, Omer T Inan, and Gregory D Abowd. 2017. FingerSound: Recognizing unistroke thumb gestures using a ring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 3 (2017), 1--19.
[73]
Cheng Zhang, Xiaoxuan Wang, Anandghan Waghmare, Sumeet Jain, Thomas Ploetz, Omer T Inan, Thad E Starner, and Gregory D Abowd. 2017. FingOrbits: interaction with wearables using synchronized thumb movements. In Proceedings of the 2017 ACM International Symposium on Wearable Computers. 62--65.
[74]
Cheng Zhang, Qiuyue Xue, Anandghan Waghmare, Ruichen Meng, Sumeet Jain, Yizeng Han, Xinyu Li, Kenneth Cunefare, Thomas Ploetz, Thad Starner, et al. 2018. FingerPing: Recognizing fine-grained hand poses using active acoustic on-body sensing. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1--10.
[75]
Fan Zhang, Valentin Bazarevsky, Andrey Vakunov, Andrei Tkachenka, George Sung, Chuo-Ling Chang, and Matthias Grundmann. 2020. Mediapipe hands: On-device real-time hand tracking. arXiv preprint arXiv:2006.10214 (2020).
[76]
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. 60--65.
[77]
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. 1--18.
[78]
Yang Zhang and Chris Harrison. 2015. Tomo: Wearable, low-cost electrical impedance tomography for hand gesture recognition. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. 167--173.
[79]
Hao Zhou, Taiting Lu, Yilin Liu, Shijia Zhang, and Mahanth Gowda. 2022. Learning on the Rings: Self-Supervised 3D Finger Motion Tracking Using Wearable Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 2 (2022), 1--31.
[80]
Hao Zhou, Taiting Lu, Yilin Liu, Shijia Zhang, Runze Liu, and Mahanth Gowda. 2023. One Ring to Rule Them All: An Open Source Smartring Platform for Finger Motion Analytics and Healthcare Applications. In Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation. 27--38.
[81]
Alexandru-Ionuţ ŞIEAN. 2022. A Set of Smart Ring Gestures for Drone Control. (2022).
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Published: 21 November 2024
Published in IMWUT Volume 8, Issue 4
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