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Seeing the Wind: An Interactive Mist Interface for Airflow Input

Published: 01 November 2023 Publication History

Abstract

Human activities can introduce variations in various environmental cues, such as light and sound, which can serve as inputs for interfaces. However, one often overlooked aspect is the airflow variation caused by these activities, which presents challenges in detection and utilization due to its intangible nature. In this paper, we have unveiled an approach using mist to capture invisible airflow variations, rendering them detectable by Time-of-Flight (ToF) sensors. We investigate the capability of this sensing technique under different types of mist or smoke, as well as the impact of airflow speed. To illustrate the feasibility of this concept, we created a prototype using a humidifier and demonstrated its capability to recognize motions. On this basis, we introduce potential applications, discuss inherent limitations, and provide design lessons grounded in mist-based airflow sensing.

Supplementary Material

Video (iss23main-p4798-p-video.mp4)
This is a presentation video for paper, Seeing the Wind: An Interactive Mist Interface for Airflow Input. In this paper, we investigate the capability of mist sensing technique under different types of mist or smoke, as well as the impact of airflow speed. To illustrate the feasibility of this concept, we created a prototype using a humidifier and demonstrated its capability to recognize motions. On this basis, we introduce potential applications, discuss inherent limitations, and provide design lessons grounded in mist-based airflow sensing.
Teaser (iss23main-p4798-p-teaser.mp4)
This is the teaser video for ISS 2023 paper of Seeing the Wind: An Interactive Mist Interface for Airflow Input. In this paper, we have unveiled an approach using mist to capture invisible airflow variations, rendering them detectable by Time-of-Flight (ToF) sensors. We investigate the capability of this sensing technique under different types of mist or smoke, as well as the impact of airflow speed. To illustrate the feasibility of this concept, we created a prototype using a humidifier and demonstrated its capability to recognize motions. On this basis, we introduce potential applications, discuss inherent limitations, and provide design lessons grounded in mist-based airflow sensing.

References

[1]
Karan Ahuja, Yue Jiang, Mayank Goel, and Chris Harrison. 2021. Vid2Doppler: Synthesizing Doppler radar data from videos for training privacy-preserving activity recognition. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA. 1–10. https://doi.org/10.1145/3411764.3445138
[2]
Peter C. Barnum, Srinivasa G. Narasimhan, and Takeo Kanade. 2010. A Multi-Layered Display with Water Drops. ACM Trans. Graph., 29, 4 (2010), Article 76, jul, 7 pages. issn:0730-0301 https://doi.org/10.1145/1778765.1778813
[3]
Jessica Broscheit, Qi Wang, Susanne Draheim, and Kai von Luck. 2021. Towards Atmospheric Interfaces. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’21). Association for Computing Machinery, New York, NY, USA. Article 52, 7 pages. isbn:9781450382137 https://doi.org/10.1145/3430524.3442458
[4]
Ulrich Burgbacher and Klaus Hinrichs. 2014. An Implicit Author Verification System for Text Messages Based on Gesture Typing Biometrics. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14). Association for Computing Machinery, New York, NY, USA. 2951–2954. isbn:9781450324731 https://doi.org/10.1145/2556288.2557346
[5]
Lisa Anneke Burr, Julius Šula, Julia Mayrhauser, and Alexander Meschtscherjakov. 2023. BREATHTURES: A First Step Towards Breathing Gestures as Distinct Input Modality. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23). Association for Computing Machinery, New York, NY, USA. Article 60, 6 pages. isbn:9781450394222 https://doi.org/10.1145/3544549.3585787
[6]
Yan Yan Cao and Naohito Okude. 2015. Scented Pebbles: Interactive Ambient Experience with Smell and Lighting. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction (TEI ’15). Association for Computing Machinery, New York, NY, USA. 409–410. isbn:9781450333054 https://doi.org/10.1145/2677199.2690873
[7]
Wei-Hung Chen. 2015. Blowatch: Blowable and Hands-Free Interaction for Smartwatches. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’15). Association for Computing Machinery, New York, NY, USA. 103–108. isbn:9781450331463 https://doi.org/10.1145/2702613.2726961
[8]
Yuxuan Chen, Yi Jin, Zhaoning Zeng, Shiyu Chen, Yang Zhou, Xinchi Xu, Jie Liu, and Guihuan Feng. 2023. VisaudiBlow: Fine-Grained Blowing Interaction Based on Visual and Auditory Detection. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23). Association for Computing Machinery, New York, NY, USA. Article 311, 6 pages. isbn:9781450394222 https://doi.org/10.1145/3544549.3585829
[9]
Angus Dempster, François Petitjean, and Geoffrey I. Webb. 2020. ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge Discovery, 34, 5 (2020), 01 Sep, 1454–1495. issn:1573-756X https://doi.org/10.1007/s10618-020-00701-z
[10]
Ethan Eddy, Erik J Scheme, and Scott Bateman. 2023. A Framework and Call to Action for the Future Development of EMG-Based Input in HCI. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA. 1–23. https://doi.org/10.1145/3544548.3580962
[11]
Jackson Feijó Filho, Wilson Prata, and Thiago Valle. 2012. Breath Mobile: A Low-Cost Software-Based Breathing Controlled Mobile Phone Interface. In Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services Companion (MobileHCI ’12). Association for Computing Machinery, New York, NY, USA. 157–160. isbn:9781450314435 https://doi.org/10.1145/2371664.2371697
[12]
Tamil Selvan Gunasekaran, Ryo Hajika, Yun Suen Pai, Eiji Hayashi, and Mark Billinghurst. 2022. RaITIn: Radar-Based Identification for Tangible Interactions. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. Association for Computing Machinery, New York, NY, USA. 1–7. https://doi.org/10.1145/3491101.3519808
[13]
Roy Harrison, David Beddows, Alan Jones, Ana Calvo, Célia Alves, and Casimiro Pio. 2013. An evaluation of some issues regarding the use of aethalometers to measure woodsmoke concentrations. Atmospheric Environment, 80 (2013), 12, 540–548. https://doi.org/10.1016/j.atmosenv.2013.08.026
[14]
Keisuke Hasegawa, Liwei Qiu, and Hiroyuki Shinoda. 2017. Interactive Midair Odor Control via Ultrasound-Driven Air Flow. In SIGGRAPH Asia 2017 Emerging Technologies (SA ’17). Association for Computing Machinery, New York, NY, USA. Article 8, 2 pages. isbn:9781450354042 https://doi.org/10.1145/3132818.3132833
[15]
Juro Hosoi, Yuki Ban, Kenichi Ito, and Shin’ichi Warisawa. 2021. VWind: Virtual Wind Sensation to the Ear by Cross-Modal Effects of Audio-Visual, Thermal, and Vibrotactile Stimuli. In SIGGRAPH Asia 2021 Emerging Technologies (SA ’21 Emerging Technologies). Association for Computing Machinery, New York, NY, USA. Article 18, 2 pages. isbn:9781450386852 https://doi.org/10.1145/3476122.3484848
[16]
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 (CHI ’23). Association for Computing Machinery, New York, NY, USA. Article 311, 24 pages. isbn:9781450394215 https://doi.org/10.1145/3544548.3581420
[17]
Chiao-En Hsieh, Yu-Ta Chen, Hao-Chen Wang, Yang-Sheng Chen, Ping-Hsuan Han, and Yi-Ping Hung. 2020. Utilizing Handheld Wind Feedback to Expand the Perception of Environmental Wind from Stationary Device. In ACM SIGGRAPH 2020 Posters (SIGGRAPH ’20). Association for Computing Machinery, New York, NY, USA. Article 28, 2 pages. isbn:9781450379731 https://doi.org/10.1145/3388770.3407406
[18]
Frederic Kerber, Pascal Lessel, and Antonio Krüger. 2015. Same-side hand interactions with arm-placed devices using EMG. In Proceedings of the 33rd annual ACM conference extended abstracts on human factors in computing systems. Association for Computing Machinery, New York, NY, USA. 1367–1372. https://doi.org/10.1145/2702613.2732895
[19]
Sven Kratz and Maribeth Back. 2015. Towards accurate automatic segmentation of imu-tracked motion gestures. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA. 1337–1342. https://doi.org/10.1145/2702613.2732922
[20]
H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre. 2011. HMDB: A large video database for human motion recognition. In 2011 International Conference on Computer Vision. 2556–2563. https://doi.org/10.1109/ICCV.2011.6126543
[21]
Takahiro Kusabuka and Takuya Indo. 2020. IBUKI: Gesture Input Method Based on Breathing. In Adjunct Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (UIST ’20 Adjunct). Association for Computing Machinery, New York, NY, USA. 102–104. isbn:9781450375153 https://doi.org/10.1145/3379350.3416134
[22]
Miu-Ling Lam, Yaozhun Huang, and Bin Chen. 2015. Interactive Volumetric Fog Display. In SIGGRAPH Asia 2015 Emerging Technologies (SA ’15). Association for Computing Machinery, New York, NY, USA. Article 13, 2 pages. isbn:9781450339254 https://doi.org/10.1145/2818466.2818488
[23]
Gierad Laput, Robert Xiao, and Chris Harrison. 2016. ViBand: High-Fidelity Bio-Acoustic Sensing Using Commodity Smartwatch Accelerometers. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST ’16). Association for Computing Machinery, New York, NY, USA. 321–333. isbn:9781450341899 https://doi.org/10.1145/2984511.2984582
[24]
Eric C. Larson, Mayank Goel, Gaetano Boriello, Sonya Heltshe, Margaret Rosenfeld, and Shwetak N. Patel. 2012. SpiroSmart: Using a Microphone to Measure Lung Function on a Mobile Phone. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp ’12). Association for Computing Machinery, New York, NY, USA. 280–289. isbn:9781450312240 https://doi.org/10.1145/2370216.2370261
[25]
Jaeyeon Lee and Geehyuk Lee. 2016. Designing a Non-Contact Wearable Tactile Display Using Airflows. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST ’16). Association for Computing Machinery, New York, NY, USA. 183–194. isbn:9781450341899 https://doi.org/10.1145/2984511.2984583
[26]
Diego Martinez Plasencia, Edward Joyce, and Sriram Subramanian. 2014. MisTable: Reach-through Personal Screens for Tabletops. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14). Association for Computing Machinery, New York, NY, USA. 3493–3502. isbn:9781450324731 https://doi.org/10.1145/2556288.2557325
[27]
Vimal Mollyn, Karan Ahuja, Dhruv Verma, Chris Harrison, and Mayank Goel. 2022. SAMoSA: Sensing Activities with Motion and Subsampled Audio. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6, 3 (2022), 1–19. https://doi.org/10.1145/3550284
[28]
Taeyong Moon and Gerard J. Kim. 2004. Design and Evaluation of a Wind Display for Virtual Reality. In Proceedings of the ACM Symposium on Virtual Reality Software and Technology (VRST ’04). Association for Computing Machinery, New York, NY, USA. 122–128. isbn:1581139071 https://doi.org/10.1145/1077534.1077558
[29]
Mohd Adili Norasikin, Diego Martinez-Plasencia, Gianluca Memoli, and Sriram Subramanian. 2019. SonicSpray: A Technique to Reconfigure Permeable Mid-Air Displays. In Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces (ISS ’19). Association for Computing Machinery, New York, NY, USA. 113–122. isbn:9781450368919 https://doi.org/10.1145/3343055.3359704
[30]
Makoto Oka and Hirohiko Mori. 2018. Proposal of Interaction Using Breath on Tablet Device. In Human Interface and the Management of Information. Interaction, Visualization, and Analytics, Sakae Yamamoto and Hirohiko Mori (Eds.). Springer International Publishing, Cham. 267–278. isbn:978-3-319-92043-6
[31]
Shwetak N. Patel and Gregory D. Abowd. 2007. Blui: Low-Cost Localized Blowable User Interfaces. In Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology (UIST ’07). Association for Computing Machinery, New York, NY, USA. 217–220. isbn:9781595936790 https://doi.org/10.1145/1294211.1294250
[32]
Siyou Pei, Pradyumna Chari, Xue Wang, Xiaoying Yang, Achuta Kadambi, and Yang Zhang. 2022. ForceSight: Non-Contact Force Sensing with Laser Speckle Imaging. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST ’22). Association for Computing Machinery, New York, NY, USA. Article 25, 11 pages. isbn:9781450393201 https://doi.org/10.1145/3526113.3545622
[33]
Ismo Rakkolainen. 2008. Mid-Air Displays Enabling Novel User Interfaces. In Proceedings of the 1st ACM International Workshop on Semantic Ambient Media Experiences (SAME ’08). Association for Computing Machinery, New York, NY, USA. 25–30. isbn:9781605583143 https://doi.org/10.1145/1461912.1461919
[34]
Ismo Rakkolainen and Antti Sand. 2013. A Movable Immaterial Volumetric Display. In SIGGRAPH Asia 2013 Posters (SA ’13). Association for Computing Machinery, New York, NY, USA. Article 2, 1 pages. isbn:9781450326346 https://doi.org/10.1145/2542302.2542305
[35]
Michael Rietzler, Katrin Plaumann, Taras Kränzle, Marcel Erath, Alexander Stahl, and Enrico Rukzio. 2017. VaiR: Simulating 3D Airflows in Virtual Reality. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA. 5669–5677. isbn:9781450346559 https://doi.org/10.1145/3025453.3026009
[36]
Deepak Ranjan Sahoo, Takuto Nakamura, Asier Marzo, Themis Omirou, Michihiro Asakawa, and Sriram Subramanian. 2016. JOLED: A Mid-Air Display Based on Electrostatic Rotation of Levitated Janus Objects. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST ’16). Association for Computing Machinery, New York, NY, USA. 437–448. isbn:9781450341899 https://doi.org/10.1145/2984511.2984549
[37]
Munehiko Sato, Rohan S. Puri, Alex Olwal, Yosuke Ushigome, Lukas Franciszkiewicz, Deepak Chandra, Ivan Poupyrev, and Ramesh Raskar. 2017. Zensei: Embedded, Multi-Electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA. 3972–3985. isbn:9781450346559 https://doi.org/10.1145/3025453.3025536
[38]
Erika Sawada, Shinya Ida, Tatsuhito Awaji, Keisuke Morishita, Tomohisa Aruga, Ryuta Takeichi, Tomoko Fujii, Hidetoshi Kimura, Toshinari Nakamura, Masahiro Furukawa, Noriyoshi Shimizu, Takuji Tokiwa, Hideaki Nii, Maki Sugimoto, and Masahiko Inami. 2007. BYU-BYU-View: A Wind Communication Interface. In ACM SIGGRAPH 2007 Emerging Technologies (SIGGRAPH ’07). Association for Computing Machinery, New York, NY, USA. 1–es. isbn:9781450318242 https://doi.org/10.1145/1278280.1278282
[39]
Albrecht Schmidt. 2000. Implicit human computer interaction through context. Personal Technologies, 4, 2 (2000), 01 Jun, 191–199. issn:1617-4917 https://doi.org/10.1007/BF01324126
[40]
Sue Ann Seah, Diego Martinez Plasencia, Peter D. Bennett, Abhijit Karnik, Vlad Stefan Otrocol, Jarrod Knibbe, Andy Cockburn, and Sriram Subramanian. 2014. SensaBubble: A Chrono-Sensory Mid-Air Display of Sight and Smell. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14). Association for Computing Machinery, New York, NY, USA. 2863–2872. isbn:9781450324731 https://doi.org/10.1145/2556288.2557087
[41]
Youngbo Aram Shim, Jaeyeon Lee, and Geehyuk Lee. 2018. Exploring Multimodal Watch-Back Tactile Display Using Wind and Vibration. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18). Association for Computing Machinery, New York, NY, USA. 1–12. isbn:9781450356206 https://doi.org/10.1145/3173574.3173706
[42]
Craig Shultz and Chris Harrison. 2022. LRAir: Non-contact Haptics Using Synthetic Jets. In 2022 IEEE Haptics Symposium (HAPTICS). 1–6. https://doi.org/10.1109/HAPTICS52432.2022.9765565
[43]
Yuta Sugiura, Masahiko Inami, and Takeo Igarashi. 2012. A Thin Stretchable Interface for Tangential Force Measurement. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (UIST ’12). Association for Computing Machinery, New York, NY, USA. 529–536. isbn:9781450315807 https://doi.org/10.1145/2380116.2380182
[44]
Yuta Sugiura, Gota Kakehi, Anusha Withana, Calista Lee, Daisuke Sakamoto, Maki Sugimoto, Masahiko Inami, and Takeo Igarashi. 2011. Detecting shape deformation of soft objects using directional photoreflectivity measurement. In Proceedings of the 24th annual ACM symposium on User interface software and technology. Association for Computing Machinery, New York, NY, USA. 509–516. https://doi.org/10.1145/2047196.2047263
[45]
Ippei Suzuki, Shuntarou Yoshimitsu, Keisuke Kawahara, Nobutaka Ito, Atushi Shinoda, Akira Ishii, Takatoshi Yoshida, and Yoichi Ochiai. 2017. Gushed Light Field: Video Showcase of Aerosol-Based Fog Display. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’17). Association for Computing Machinery, New York, NY, USA. 453. isbn:9781450346566 https://doi.org/10.1145/3027063.3049774
[46]
Yutaka Tokuda, Mohd Adili Norasikin, Sriram Subramanian, and Diego Martinez Plasencia. 2017. MistForm: Adaptive Shape Changing Fog Screens. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI ’17). Association for Computing Machinery, New York, NY, USA. 4383–4395. isbn:9781450346559 https://doi.org/10.1145/3025453.3025608
[47]
Chengshuo Xia, Xinrui Fang, Riku Arakawa, and Yuta Sugiura. 2022. VoLearn: A Cross-Modal Operable Motion-Learning System Combined with Virtual Avatar and Auditory Feedback. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6, 2 (2022), 1–26. https://doi.org/10.1145/3534576
[48]
Zihan Yan, Yuxiaotong Lin, Guanyun Wang, Yu Cai, Peng Cao, Haipeng Mi, and Yang Zhang. 2023. LaserShoes: Low-Cost Ground Surface Detection Using Laser Speckle Imaging. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA. 1–20. https://doi.org/10.1145/3544548.3581344
[49]
Hui-Shyong Yeo, Erwin Wu, Daehwa Kim, Juyoung Lee, Hyung-il Kim, Seo Young Oh, Luna Takagi, Woontack Woo, Hideki Koike, and Aaron John Quigley. 2023. OmniSense: Exploring Novel Input Sensing and Interaction Techniques on Mobile Device with an Omni-Directional Camera. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA. 1–18. https://doi.org/10.1145/3544548.3580747
[50]
Dingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, and Bernard Kippelen. 2020. OptoSense: Towards ubiquitous self-powered ambient light sensing surfaces. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4, 3 (2020), 1–27. https://doi.org/10.1145/3411826
[51]
Dingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, Bernard Kippelen, Canek Fuentes-Hernandez, Thad Starner, and Gregory D. Abowd. 2020. OptoSense: Towards Ubiquitous Self-Powered Ambient Light Sensing Surfaces. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4, 3 (2020), Article 103, sep, 27 pages. https://doi.org/10.1145/3411826
[52]
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 (UIST ’15). Association for Computing Machinery, New York, NY, USA. 167–173. isbn:9781450337793 https://doi.org/10.1145/2807442.2807480
[53]
Yang Zhang, Yasha Iravantchi, Haojian Jin, Swarun Kumar, and Chris Harrison. 2019. Sozu: Self-powered radio tags for building-scale activity sensing. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, New York, NY, USA. 973–985. https://doi.org/10.1145/3332165.3347952
[54]
Yang Zhang, Gierad Laput, and Chris Harrison. 2018. Vibrosight: Long-range vibrometry for smart environment sensing. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, New York, NY, USA. 225–236. https://doi.org/10.1145/3242587.3242608
[55]
Jan Zizka, Alex Olwal, and Ramesh Raskar. 2011. SpeckleSense: fast, precise, low-cost and compact motion sensing using laser speckle. In Proceedings of the 24th annual ACM symposium on User interface software and technology. Association for Computing Machinery, New York, NY, USA. 489–498. https://doi.org/10.1145/2047196.2047261

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  • (2024)Computational Spirometer Using Arduino Nano ApplicationReshaping Healthcare with Cutting-Edge Biomedical Advancements10.4018/979-8-3693-4439-2.ch014(339-368)Online publication date: 19-Apr-2024

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 7, Issue ISS
    December 2023
    482 pages
    EISSN:2573-0142
    DOI:10.1145/3554314
    Issue’s Table of Contents
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    Published: 01 November 2023
    Published in PACMHCI Volume 7, Issue ISS

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    1. interaction
    2. mist
    3. motion recognition

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    • (2024)Computational Spirometer Using Arduino Nano ApplicationReshaping Healthcare with Cutting-Edge Biomedical Advancements10.4018/979-8-3693-4439-2.ch014(339-368)Online publication date: 19-Apr-2024

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