FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing
Abstract
FingerPing is a novel sensing technique that can recognize various fine-grained hand poses by analyzing acoustic resonance features. A surface-transducer mounted on a thumb ring injects acoustic chirps (20Hz to 6,000Hz) to the body. Four receivers distributed on the wrist and thumb collect the chirps. Different hand poses of the hand create distinct paths for the acoustic chirps to travel, creating unique frequency responses at the four receivers. We demonstrate how FingerPing can differentiate up to 22 hand poses, including the thumb touching each of the 12 phalanges on the hand as well as 10 American sign language poses. A user study with 16 participants showed that our system can recognize these two sets of poses with an accuracy of 93.77% and 95.64%, respectively. We discuss the opportunities and remaining challenges for the widespread use of this input technique.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A wrist-worn wearable outfitted with an inertial measurement unit (IMU) can easily detect wrist shaking to control smart devices.
“For example, a wrist-worn wearable outfitted with an inertial measurement unit (IMU) can easily detect the wrist shaking [47,48,49] to control smart devices to skip a song by shaking the hand, instead of bringing up the screen, locating, and pushing a button.”
From Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances (2022) · cites this paper as [49]
Cites
Harrison, C., Tan, D. S., & Morris, D. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753394 · Cited by 696 · see citing works
Nandakumar, R., Iyer, V., Tan, D. S., & Gollakota, S. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858580 · Cited by 408 · see citing works
Enabling always-available input with muscle-computer interfaces
Saponas, T. S., Tan, D. S., Morris, D., Balakrishnan, R., Turner, J., & Landay, J. A. (2009) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/1622176.1622208 · Cited by 331 · see citing works
Laput, G., Xiao, R., & Harrison, C. (2016) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2984511.2984582 · Cited by 268 · see citing works
Introduction to Audio Analysis: A MATLAB Approach
(2014) · Elsevier eBooks · doi:10.1016/b978-0-08-099388-1.00010-8 · Cited by 225 · see citing works
Dementyev, A., & Paradiso, J. A. (2014) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2642918.2647396 · Cited by 206 · see citing works
Chen, K.-Y., Lyons, K., White, S., & Patel, S. (2013) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2501988.2502035 · Cited by 170 · see citing works
Rahman, T., Adams, A. T., Zhang, M., Cherry, E., Zhou, B., Peng, H., & Choudhury, T. (2014) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2594368.2594386 · Cited by 159 · see citing works
Zhang, Y., Zhou, J., Laput, G., & Harrison, C. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858082 · Cited by 139 · see citing works
Chan, L., Chen, Y., Hsieh, C.-H., Liang, R.-H., & Chen, B. (2015) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2807442.2807450 · Cited by 133 · see citing works
Huang, D.-Y., Chan, L., Yang, S., Wang, F., Liang, R.-H., Yang, D.-N., Hung, Y., & Chen, B. (2016) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858483 · Cited by 118 · see citing works
Gong, J., Yang, X.-D., & Irani, P. (2016) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/2984511.2984563 · Cited by 115 · see citing works
An ultra-low-power human body motion sensor using static electric field sensing
Cohn, G. A., Gupta, S., Lee, T.-J., Morris, D., Smith, J. R., Reynolds, M. S., Tan, D. S., & Patel, S. (2012) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2370216.2370233 · Cited by 110 · see citing works
Mujibiya, A., Cao, X. G., Tan, D. S., Morris, D., Patel, S., & Rekimoto, J. (2013) · ACM International Conference on Interactive Tabletops and Surfaces (ITS) · doi:10.1145/2512349.2512821 · Cited by 103 · see citing works
Zhang, C., Bedri, A., Reyes, G., Bercik, B., Inan, O. T., Starner, T. E., & Abowd, G. D. (2016) · ACM International Conference on Interactive Surfaces and Spaces (ISS) · doi:10.1145/2992154.2992187 · Cited by 90 · see citing works
Self-citationAmento, B. S., Hill, W., & Terveen, L. (2002) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/506443.506566 · Cited by 87 · see citing works
Zhang, C., Waghmare, A., Kundra, P., Pu, Y., Gilliland, S. M., Plötz, T., Starner, T. E., Inan, O. T., & Abowd, G. D. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3130985 · Cited by 82 · see citing works
Self-citationPinchWatch: A Wearable Device for One-Handed Microinteractions
Loclair, C., & Gustafson, S. G. (2010) · Cited by 65 · see citing works
Zhang, C., Yang, J., Southern, C., Starner, T. E., & Abowd, G. D. (2016) · ACM International Symposium on Wearable Computers (ISWC) · doi:10.1145/2971763.2971775 · Cited by 43 · see citing works
Self-citationZhang, C., Wang, X., Waghmare, A., Jain, S., Plötz, T., Inan, O. T., Starner, T. E., & Abowd, G. D. (2017) · ACM International Symposium on Wearable Computers (ISWC) · doi:10.1145/3123021.3123041 · Cited by 31 · see citing works
Self-citationFan, M., & Truong, K. N. (2015) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2750858.2804264 · Cited by 27 · see citing works
Laput, G., Chen, X., & Harrison, C. (2016) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/2856767.2856812 · Cited by 25 · see citing works
Bioacoustics-Based Human-Body-Mediated Communication
Zhang, C., Hersek, S., Pu, Y., Sun, D., Xue, Q. S., Starner, T. E., Abowd, G. D., & Inan, O. T. (2017) · Computer · doi:10.1109/mc.2017.43 · Cited by 18 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Zhang, S., Li, Y., Zhang, S., Shahabi, F., Xia, S., Deng, Y., & Alshurafa, N. (2022) · Sensors · doi:10.3390/s22041476 · Cited by 625 · see citing works
“For example, a wrist-worn wearable outfitted with an inertial measurement unit (IMU) can easily detect the wrist shaking [250, 324, 336] to control smart devices to skip a song by shaking the hand, instead of bringing up the screen, locating, and pushing a button.”
BackgroundEmerging Wearable Interfaces and Algorithms for Hand Gesture Recognition: A Survey
Jiang, S., Kang, P., Song, X., Lo, B. P. L., & Shull, P. B. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2021.3078190 · Cited by 276 · see citing works
EarBuddy: Enabling On-Face Interaction via Wireless Earbuds
Xu, X., Shi, H., Yi, X., Liu, W., Yan, Y., Shi, Y., Mariakakis, A. T., Mankoff, J. C., & Dey, A. K. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376836 · Cited by 93 · see citing works
NeuroPose: 3D Hand Pose Tracking using EMG Wearables
Liu, Y., Zhang, S., & Gowda, M. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3449890 · Cited by 82 · see citing works
Iravantchi, Y., Zhang, Y., Bernitsas, E., Goel, M., & Harrison, C. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300506 · Cited by 77 · see citing works
Mental Stress Assessment Using Ultra Short Term HRV Analysis Based on Non-Linear Method
Lee, S., Hwang, H. B., Park, S., Kim, S., Ha, J. H., Jang, Y., Hwang, S. J., Park, H.-K., Lee, J., & Kim, I. Y. (2022) · Biosensors · doi:10.3390/bios12070465 · Cited by 65 · see citing works
Multimodal hand gesture recognition using single IMU and acoustic measurements at wrist
Siddiqui, N., & Chan, R. H. M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0227039 · Cited by 65 · see citing works
Hand Gesture Recognition Based on Active Ultrasonic Sensing of Smartphone: A Survey
Wang, Z., Hou, Y., Jiang, K., Dou, W., Zhang, C., Huang, Z., & Guo, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2933987 · Cited by 57 · see citing works
Self-citationA perspective on human activity recognition from inertial motion data
Gomaa, W. E., & Khamis, M. A. (2023) · Neural Computing and Applications · doi:10.1007/s00521-023-08863-9 · Cited by 60 · see citing works
Iravantchi, Y., Goel, M., & Harrison, C. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300245 · Cited by 57 · see citing works
Chen, T., Li, T., Yang, X., & Zhu, K. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3569478 · Cited by 52 · see citing works
Gu, Y., Yu, C., Li, Z., Li, Z., Wei, X., & Shi, Y. (2020) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3432204 · Cited by 51 · see citing works
Lee, C.-J., Zhang, R., Agarwal, D., Yu, T. C., Gunda, V., Lopez, O., Kim, J., Yin, S., Dong, B. H., Li, K., et al. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642910 · Cited by 56 · see citing works
Self-citationChen, T., Steeper, B., Alsheikh, K., Tao, S., Guimbretière, F. V., & Zhang, C. (2020) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3379337.3415879 · Cited by 51 · see citing works
Self-citationBoldú, R., Dancu, A., Matthies, D. J. C., Cascón, P. G., Ransir, S., & Nanayakkara, S. C. (2018) · Symposium on Spatial User Interaction · doi:10.1145/3267782.3267796 · Cited by 43 · see citing works
Li, K., Zhang, R., Liang, B., Guimbretière, F. V., & Zhang, C. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3534621 · Cited by 42 · see citing works
Self-citationYeo, H.-S., Lee, J., Kim, H.-I., Gupta, A., Bianchi, A., Vogel, D., Koike, H., Woo, W., & Quigley, A. J. (2019) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3338286.3340130 · Cited by 42 · see citing works
Becker, V., Fessler, L., & Sörös, G. (2019) · International Symposium on Wearable Computers · doi:10.1145/3341163.3347735 · Cited by 40 · see citing works
PrivacyMic: Utilizing Inaudible Frequencies for Privacy Preserving Daily Activity Recognition
Iravantchi, Y., Ahuja, K., Goel, M., Harrison, C., & Sample, A. P. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445169 · Cited by 40 · see citing works
Designing and Evaluating Hand-to-Hand Gestures with Dual Commodity Wrist-Worn Devices
Lu, Y., Huang, B., Yu, C., Liu, G., & Shi, Y. (2020) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3380984 · Cited by 37 · see citing works
Force-Aware Interface via Electromyography for Natural VR/AR Interaction
Zhang, Y., Liang, B., Chen, B., Torrens, P. M., Atashzar, S. F., Lin, D., & Sun, Q. (2022) · ACM Transactions on Graphics · doi:10.1145/3550454.3555461 · Cited by 36 · see citing works
Finger Gesture Tracking for Interactive Applications
Liu, Y., Jiang, F., & Gowda, M. (2020) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3414117 · Cited by 33 · see citing works
Zhou, H., Lu, T.-T., Liu, Y.-L., Zhang, S.-J., & Gowda, M. K. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3534587 · Cited by 24 · see citing works
Kubo, Y., Koguchi, Y., Shizuki, B., Takahashi, S. I., & Hilliges, O. (2019) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3338286.3340147 · Cited by 32 · see citing works
Dutta, A., Niu, Z., Abdullah, A. M., Tiwari, N., Biswas, M. A. S., Li, B., Lorestani, F., Jing, Y., & Cheng, H. (2024) · Advanced Science · doi:10.1002/advs.202303403 · Cited by 30 · see citing works
ThumbTrak: Recognizing Micro-finger Poses Using a Ring with Proximity Sensing
Sun, W., Li, F. M., Huang, C., Lei, Z., Steeper, B., Tao, S., Tian, F., & Zhang, C. (2021) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3447526.3472060 · Cited by 30 · see citing works
Self-citationLiu, Y., Zhang, S., Gowda, M., & Nelakuditi, S. (2022) · Proceedings of the ACM on Measurement and Analysis of Computing Systems · doi:10.1145/3570613 · Cited by 30 · see citing works
Hand Gesture Recognition Using Multiple Acoustic Measurements at Wrist
Siddiqui, N., & Chan, R. H. M. (2020) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2020.3041201 · Cited by 29 · see citing works
Nailz: Sensing Hand Input with Touch Sensitive Nails
Lee, D., Lee, S.-H., & Oakley, I. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376778 · Cited by 28 · see citing works
Li, J., Huang, L., Shah, S., Jones, S. J., Jin, Y., Wang, D., Russell, A., Choi, S., Gao, Y., Yuan, J., et al. (2023) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3610881 · Cited by 28 · see citing works
EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses
Li, K., Zhang, R., Chen, S., Chen, B., Sakashita, M., Guimbretière, F. V., & Zhang, C. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642613 · Cited by 27 · see citing works
Self-citationActSonic: Recognizing Everyday Activities from Inaudible Acoustic Wave Around the Body
Mahmud, S., Parikh, V., Liang, Q., Li, K., Zhang, R., Ajit, A., Gunda, V., Agarwal, D., Guimbretière, F. V., & Zhang, C. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699752 · Cited by 32 · see citing works
Self-citationRing-a-Pose: A Ring for Continuous Hand Pose Tracking
Yu, T. C., Hu, G., Zhang, R., Lim, H., Mahmud, S., Lee, C.-J., Li, K., Agarwal, D., Nie, S., Oh, J., et al. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699741 · Cited by 25 · see citing works
Self-citationLiu, Y., Zhang, S., & Gowda, M. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3223600 · Cited by 21 · see citing works
No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing
Attygalle, N. T., Leiva, L. A., Kljun, M., Sandor, C., Plopski, A., Kato, H., & Pucihar, K. Č. (2021) · Sensors · doi:10.3390/s21175771 · Cited by 19 · see citing works
Huh, J. H., Shin, H., Kim, H., Cheon, E., Song, Y., Lee, C.-H., & Oakley, I. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3569473 · Cited by 16 · see citing works
OptiRing: Low-Resolution Optical Sensing for Subtle Thumb-to-Index Micro-Interactions
Waghmare, A., Boldú, R., Whitmire, E., & Kienzle, W. (2023) · ACM Symposium on Spatial User Interaction (SUI) · doi:10.1145/3607822.3614538 · Cited by 15 · see citing works
Self-citationMAF: Exploring Mobile Acoustic Field for Hand-to-Face Gesture Interactions
Yang, Y., Chen, T., Huang, Y., Guo, X., & Shangguan, L. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642437 · Cited by 15 · see citing works
AtaTouch: Robust Finger Pinch Detection for a VR Controller Using RF Return Loss
Kim, D., Park, K., & Lee, G. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445442 · Cited by 15 · see citing works
Computing with Smart Rings: A Systematic Literature Review
Wang, Z. S., Yu, R., Wang, X., Ding, J., Tang, J., Fang, J., He, Z., Li, Z., Röddiger, T., Xu, W., et al. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749480 · Cited by 14 · see citing works
SpellRing: Recognizing Continuous Fingerspelling in American Sign Language using a Ring
Lim, H., Dang, N. A., Lee, D., Yu, T. C., Lu, J., Li, F. M., Jin, Y., Ma, Y., Bi, X., Guimbretière, F. V., et al. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713721 · Cited by 14 · see citing works
Self-citationFarOut Touch: Extending the Range of ad hoc Touch Sensing with Depth Cameras
Shen, V., Spann, J., & Harrison, C. (2021) · Symposium on Spatial User Interaction · doi:10.1145/3485279.3485281 · Cited by 14 · see citing works
Matthies, D. J. C., Urban, B., Wolf, K., & Schmidt, A. (2019) · Australian Conference on Human-Computer Interaction (OzCHI) · doi:10.1145/3369457.3369478 · Cited by 14 · see citing works
SignQuery: A Natural User Interface and Search Engine for Sign Languages with Wearable Sensors
Zhou, H., Lu, T., Mckinnie, K., Palagano, J., DeHaan, K., & Gowda, M. (2023) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3570361.3613286 · Cited by 13 · see citing works
MyoSpring: 3D Printing Mechanomyographic Sensors for Subtle Finger Gesture Recognition
Lin, S. S.-R., Gamage, N. M., Herath, K., & Withana, A. I. (2022) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/3490149.3501321 · Cited by 13 · see citing works
HulaMove: Using Commodity IMU for Waist Interaction
Xu, X., Li, J., Yuan, T., He, L., Liu, X., Yan, Y., Wang, Y., Shi, Y., Mankoff, J. C., & Dey, A. K. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445182 · Cited by 13 · see citing works
Oh, S., Yun, G., Park, C., Kim, J., & Choi, S. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300906 · Cited by 12 · see citing works
VibAware: Context-Aware Tap and Swipe Gestures Using Bio-Acoustic Sensing
Kim, J., Kim, M., Lee, W. S., & Yoon, S. H. (2023) · ACM Symposium on Spatial User Interaction (SUI) · doi:10.1145/3607822.3614544 · Cited by 11 · see citing works
WristDial: An Eyes-Free Integer-Value Input Method by Quantizing the Wrist Rotation
Youn, E., Lee, S., Kim, S., Shim, Y. A., Chan, L., & Lee, G. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2021.1898848 · Cited by 10 · see citing works
Saggio, G., Santoro, A. S., Errico, V., Caon, M., Leoni, A., Ferri, G., & Stornelli, V. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3088486 · Cited by 10 · see citing works
Paredes, L., Reddy, S. S., Chidambaram, S., Vagholkar, D., Zhang, Y., Beneš, B., & Karthik Ramani, A. (2021) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3463518 · Cited by 10 · see citing works
SkullID: Through-Skull Sound Conduction based Authentication for Smartglasses
Shin, H., Huh, J. H., Kwon, B. J., Kim, I., Cheon, E., Kim, H., Lee, C.-H., & Oakley, I. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642506 · Cited by 9 · see citing works
Vibration-based pervasive computing and intelligent sensing
Huang, Y., & Wu, K. (2020) · CCF Transactions on Pervasive Computing and Interaction · doi:10.1007/s42486-020-00049-9 · Cited by 9 · see citing works
Sugrim, S., Liu, C., & Lindqvist, J. (2019) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3351262 · Cited by 9 · see citing works
FPVRGame: Deep Learning for Hand Pose Recognition in Real-Time Using Low-End HMD
Oliveira, E., Clua, E., Vasconcelos, C. N., Marques, B. A. D., Trevisan, D. G., & Salgado, L. C. D. C. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-34644-7_6 · Cited by 7 · see citing works
Wang, X., & Zhang, Y. (2023) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3631413 · Cited by 7 · see citing works
Chen, W., Lin, S., Peng, Z., Parizi, F. S., Heo, S., Patel, S., Matusik, W., Zhao, W., & Stankovic, J. A. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3643547 · Cited by 6 · see citing works
Application Informed Motion Signal Processing for Finger Motion Tracking Using Wearable Sensors
Liu, Y., Jiang, F., & Gowda, M. (2020) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp40776.2020.9053466 · Cited by 6 · see citing works
Kon, S., Ushiyama, K., Mizoguchi, I., & Kajimoto, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-91970-5 · Cited by 5 · see citing works
Grab-n-Go: On-the-Go Microgesture Recognition with Objects in Hand
Lee, C.-J., Li, J., Yu, T. C., Zhang, R., Gunda, V., Guimbretière, F. V., & Zhang, C. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3749469 · Cited by 5 · see citing works
Self-citationLiu, L., Cao, Z., & Li, T. (2023) · IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI) · doi:10.1145/3576842.3582368 · Cited by 5 · see citing works
Liu, Z., He, J., Feng, J., & Zhou, J. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3569491 · Cited by 4 · see citing works
FlowRing: Integrated Microgesture and Surface Interaction Ring for Versatile XR Input MHCI010
Chatterjee, I., Ding, J., Waghmare, A., Breda, J., Deng, Y., Liu, B., Wang, Y., & Patel, S. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3743706 · Cited by 4 · see citing works
Self-citationUI Design based on Traditional Japanese Gesture
Ito, A., & Nakada, K. (2019) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom47531.2019.9089950 · Cited by 4 · see citing works
Recognizing salat activity using deep learning models via smartwatch sensors
Vurgun, Y., & Kıran, M. S. (2024) · Neural Computing and Applications · doi:10.1007/s00521-024-10195-1 · Cited by 4 · see citing works
TapWristband: A Wearable Keypad System Based on Wrist Vibration Sensing
Yan, J., Cheng, S., Zhao, Y., & Liu, J. (2024) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2024.3503417 · Cited by 4 · see citing works
Mahmoodi, K., Xie, Y., Gemicioglu, T., Lee, C.-J., Kim, J., & Zhang, C. (2025) · ACM International Symposium on Wearable Computers (ISWC) · doi:10.1145/3715071.3750405 · Cited by 3 · see citing works
Self-citationIntegrative Analysis of Open Datasets for Stress Prediction
Ladakis, I., Fotopoulos, D. T., & Chouvarda, I. (2025) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-025-00958-z · Cited by 3 · see citing works
Active Acoustic Sensing Based Authentication System Using a Door Handle
Konishi, T., Choi, M., & Shizuki, B. (2024) · International Conference on Mobile and Ubiquitous Multimedia (MUM) · doi:10.1145/3701571.3701587 · Cited by 3 · see citing works
Yang, Z., Zhang, Y., Li, Y., Huang, L., Hu, P., & Lin, Y. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3565250 · Cited by 3 · see citing works
Cripping AI: Reimagining AI Through Lived Disability Experiences
Tang, X., Lin, T.-A., Li, J., & Wu, S. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3805689.3806744 · Cited by 2 · see citing works
SoundOff: Low-cost Passive Ultrasound Tags for Non-invasive and Non-Intrusive Smart Home Sensing
Fu, Y., Shen, V., Naranjo, V. R., Deng, B., Adams, A. T., & Hester, J. D. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3770666 · Cited by 2 · see citing works
MType: A Magnetic Field-based Typing System on the Hand for Around-Device Interaction
Deng, Y., Wang, D., Zhang, Q., & Zhao, R. (2019) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2019.8824942 · Cited by 2 · see citing works
VibAware: Context-Aware Tap and Swipe Gestures Using Bio-Acoustic Sensing
Kim, J., Kim, M.-Y., Lee, W.-S., & Yoon, S. H. (2023) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw58643.2023.00147 · Cited by 2 · see citing works
Variable Scale Gesture Recognition: A Dataset and Comprehensive Analysis
Li, Z., Xu, T., Yang, X., Sun, J., & Zhu, G. (2023) · International Conference on Robotics, Automation and Intelligent Control (ICRAIC) · doi:10.1109/icraic61978.2023.00027 · Cited by 2 · see citing works
Investigating Users’ Natural Engagement with a 3D Design Approach in an Egocentric Vision Scenario
Oliveira, E., Gonzalez, E. W., Trevisan, D. G., & Salgado, L. C. D. C. (2020) · Symposium on Virtual and Augmented Reality (SVR) · doi:10.1109/svr51698.2020.00026 · Cited by 2 · see citing works
VibRing: A Wearable Vibroacoustic Sensor for Single-Handed Gesture Recognition
Li, B., Huang, X., & Xiao, R. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3733052 · Cited by 1 · see citing works
Simultaneous Sensing of Contact Force and Edge Orientation by Using Excitation From Fingernail
Kon, S., Ushiyama, K., Mizoguchi, I., & Kajimoto, H. (2026) · IEEE Access · doi:10.1109/access.2026.3663694 · Cited by 1 · see citing works
Are You Wearing a Mask? Detecting If a Person Wears a Mask Using a Wristband
Msigwa, C., Baek, S., Bernard, D., & Yun, J. (2022) · Sensors · doi:10.3390/s22051745 · Cited by 1 · see citing works
Zhang, T., Zeng, X., Zhang, Y., Jiang, X., Xu, X., Dey, A. K., & Chen, Y. (2022) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3491101.3519805 · Cited by 1 · see citing works
VibeCheck: Using Active Acoustic Tactile Sensing for Contact-Rich Manipulation
Zhang, K., Kim, D.-G., Chang, E. T., Liang, H.-H., He, Z., Lampo, K., Wu, P., Kymissis, I., & Ciocarlie, M. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246133 · Cited by 1 · see citing works
User Interface Design Based on Traditional Japanese Air Finger Drawings, “Soragaki”
Ito, A., & Nakada, K. (2022) · Topics in intelligent engineering and informatics · doi:10.1007/978-3-031-10956-0_11 · Cited by 1 · see citing works
Effects of Immediate Feedback in Operating Information Device by Finger Tap Gesture
Watanabe, K., Oka, M., & Mori, H. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-06424-1_13
- Authors
- Zhang, C., Xue, Q., Waghmare, A., Meng, R., Jain, S., Han, Y., Li, X., Cunefare, K., Ploetz, T., Starner, T., Inan, O., & Abowd, G. D.
- Affiliations
- Georgia Institute of Technology (US)
- Tsinghua University (CN)
- Georgia Institute of Technology, Atlanta, GA, USA
- ORCID
- Venue
- Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2018-04-21
- Pages
- 1-10
- OpenAlex
- W2795600692
- Cited by
- 82
- References
- 23
- Citations by year
- 2026: 1 · 2025: 11 · 2024: 11 · 2023: 9 · 2022: 15 · 2021: 11 · 2020: 11 · 2019: 12 · 2018: 1
- FWCI
- 7.05
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- hand posture recognition, acoustic sensing, American Sign Language, human-computer interaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
