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Auswahl der wissenschaftlichen Literatur zum Thema „Smartwatch visualization“
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Zeitschriftenartikel zum Thema "Smartwatch visualization"
Cui, Zhe, Shivalik Sen, Sriram Karthik Badam und Niklas Elmqvist. „VisHive: Supporting web-based visualization through ad hoc computational clusters of mobile devices“. Information Visualization 18, Nr. 2 (23.01.2018): 195–210. http://dx.doi.org/10.1177/1473871617752910.
Der volle Inhalt der QuelleDey, Bijoy Kumar, Ritika Khan und Mainak Kunai. „Analysis of Fitness Based on Smart Watch Data“. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, Nr. 02 (03.02.2024): 1–10. http://dx.doi.org/10.55041/ijsrem28514.
Der volle Inhalt der QuelleHidayaturrohman, Qisthi Alhazmi, M. Arifudin Lukmana und Akhmad Nidhomuz Zaman. „Design of human heartbeat monitoring system based on wireless sensor networks“. Techné : Jurnal Ilmiah Elektroteknika 22, Nr. 2 (05.12.2023): 207–16. http://dx.doi.org/10.31358/techne.v22i2.354.
Der volle Inhalt der QuelleBlascheck, Tanja, Lonni Besancon, Anastasia Bezerianos, Bongshin Lee und Petra Isenberg. „Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches“. IEEE Transactions on Visualization and Computer Graphics 25, Nr. 1 (Januar 2019): 630–40. http://dx.doi.org/10.1109/tvcg.2018.2865142.
Der volle Inhalt der QuelleSanthanavanich, T., S. Schneider, P. Rodrigues und V. Coors. „INTEGRATION AND VISUALIZATION OF HETEROGENEOUS SENSOR DATA AND GEOSPATIAL INFORMATION“. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W7 (20.09.2018): 115–22. http://dx.doi.org/10.5194/isprs-annals-iv-4-w7-115-2018.
Der volle Inhalt der QuelleHashimoto, Yoshiki, Daisaku Arita, Atsushi Shimada, Takashi Yoshinaga, Takashi Okayasu, Hideaki Uchiyama und Rin-Ichiro Taniguchi. „Yield Visualization Based on Farm Work Information Measured by Smart Devices“. Sensors 18, Nr. 11 (13.11.2018): 3906. http://dx.doi.org/10.3390/s18113906.
Der volle Inhalt der QuelleChong-White, Nicky, Joseph Tagudin und Jorge Mejia. „Advancing hearing research with the NAL ecologically momentary assessment platform for real-world insights“. Journal of the Acoustical Society of America 154, Nr. 4_supplement (01.10.2023): A206—A207. http://dx.doi.org/10.1121/10.0023293.
Der volle Inhalt der QuelleShandhi, Md Mobashir Hasan, Jennifer C. Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V. Kotla, Alina Feng, Yihang Jiang et al. „Recent Academic Research on Clinically Relevant Digital Measures: Systematic Review“. Journal of Medical Internet Research 23, Nr. 9 (15.09.2021): e29875. http://dx.doi.org/10.2196/29875.
Der volle Inhalt der QuelleAnkrah, Elizabeth A., Franceli L. Cibrian, Lucas M. Silva, Arya Tavakoulnia, Jesus A. Beltran, Sabrina E. B. Schuck, Kimberley D. Lakes und Gillian R. Hayes. „Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health Data“. ACM Transactions on Computer-Human Interaction, 20.12.2022. http://dx.doi.org/10.1145/3577008.
Der volle Inhalt der QuelleDong, Miaomiao. „Investigating the Users’ Preferences of Heart Rate Data Types and Visualizations on a Smartwatch“. International Journal of Human–Computer Interaction, 18.07.2023, 1–22. http://dx.doi.org/10.1080/10447318.2023.2233130.
Der volle Inhalt der QuelleDissertationen zum Thema "Smartwatch visualization"
Islam, Mohammad Alaul. „Visualizations for Smartwatches and Fitness Trackers“. Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG018.
Der volle Inhalt der QuelleThis thesis covers research on how to design and use micro-visualizations for pervasive and mobile data exploration on smartwatches and fitness trackers. People increasingly wear smartwatches that can track and show a wide variety of data. My work is motivated by the potential benefits of data visualizations on small mobile devices such as fitness monitoring armbands and smartwatches. I focus on situations in which visualizations support dedicated data-related tasks on interactive smartwatches. My main research goal in this space is to understand more broadly how to design small-scale visualizations for fitness trackers. Here, I explore: (i) design constraints in the small space through an ideation workshop; (ii) what kind of visualizations people currently see on their watch faces; (iii) a design review and design space of small-scale visualizations; (iv) and readability of micro-visualizations considering the impact of size and aspect ratio in the context of sleep tracking. The main findings of the thesis are, first, a set of data needs concerning a sightseeing usage context in which these data needs were met with a wealth of dedicated visualization designs that go beyond those commonly seen on watch displays. Second, a predominant display of health & fitness data, with icons accompanying the text being the most frequent representation type on current smartwatch faces. Third, a design space for smartwatch face visualizations which highlights the most important considerations for new data displays for smartwatch faces and other small displays. Last, in the context of sleep tracking, we saw that people performed simple tasks effectively, even with complex visualization, on both smartwatch and fitness band displays; but more complex tasks benefited from the larger smartwatch size. Finally, I point out important open opportunities for future smartwatch visualization research, such as scalability (e.g., more data, smaller size, and more visualizations), the role of context and wearer's movement, smartwatch display types, and interactivity. In summary, this thesis contributes to the understanding of visualizations on smartwatches and highlights open opportunities for smartwatch visualization research
Buchteile zum Thema "Smartwatch visualization"
Bathelt, Franziska, Ines Reinecke, Brita Sedlmayr, Sepp Höhne, Christian Gierschner und Martin Sedlmayr. „Visualization of Medical Wearable-Data Using SMART-on-FHIR – A Concept for an Interdisciplinary Complex Practical Course“. In Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220908.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Smartwatch visualization"
Islam, Alaul, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck und Petra Isenberg. „Visualizing Information on Watch Faces: A Survey with Smartwatch Users“. In 2020 IEEE Visualization Conference (VIS). IEEE, 2020. http://dx.doi.org/10.1109/vis47514.2020.00038.
Der volle Inhalt der QuelleBlascheck, Tanja, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Alaul Islam, Tingying He und Petra Isenberg. „Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces“. In 2023 IEEE 16th Pacific Visualization Symposium (PacificVis). IEEE, 2023. http://dx.doi.org/10.1109/pacificvis56936.2023.00028.
Der volle Inhalt der QuelleGrioui, Fairouz, und Tanja Blascheck. „Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity“. In 14th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011665500003417.
Der volle Inhalt der QuelleWu, Ko-Chiu, Chun-Ching Chen, Tzu-Heng Chiu und I.-Jen Chiang. „Transform children's library into a mixed-reality learning environment: Using smartwatch navigation and information visualization interfaces“. In 2017 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC). IEEE, 2017. http://dx.doi.org/10.23919/pnc.2017.8203526.
Der volle Inhalt der QuelleGrioui, Fairouz, und Tanja Blascheck. „Study of Heart Rate Visualizations on a Virtual Smartwatch“. In VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3489849.3489913.
Der volle Inhalt der QuelleSchiewe, Alexander, Andrey Krekhov, Frederic Kerber, Florian Daiber und Jens Krüger. „A Study on Real-Time Visualizations During Sports Activities on Smartwatches“. In MUM 2020: 19th International Conference on Mobile and Ubiquitous Multimedia. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3428361.3428409.
Der volle Inhalt der QuelleIslam, Alaul, Ranjini Aravind, Tanja Blascheck, Anastasia Bezerianos und Petra Isenberg. „Preferences and Effectiveness of Sleep Data Visualizations for Smartwatches and Fitness Bands“. In CHI '22: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3491102.3501921.
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