Gotowa bibliografia na temat „Smartwatch visualization”
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Artykuły w czasopismach na temat "Smartwatch visualization"
Cui, Zhe, Shivalik Sen, Sriram Karthik Badam i 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.
Pełny tekst źródłaDey, Bijoy Kumar, Ritika Khan i Mainak Kunai. "Analysis of Fitness Based on Smart Watch Data". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, nr 02 (3.02.2024): 1–10. http://dx.doi.org/10.55041/ijsrem28514.
Pełny tekst źródłaHidayaturrohman, Qisthi Alhazmi, M. Arifudin Lukmana i Akhmad Nidhomuz Zaman. "Design of human heartbeat monitoring system based on wireless sensor networks". Techné : Jurnal Ilmiah Elektroteknika 22, nr 2 (5.12.2023): 207–16. http://dx.doi.org/10.31358/techne.v22i2.354.
Pełny tekst źródłaBlascheck, Tanja, Lonni Besancon, Anastasia Bezerianos, Bongshin Lee i Petra Isenberg. "Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches". IEEE Transactions on Visualization and Computer Graphics 25, nr 1 (styczeń 2019): 630–40. http://dx.doi.org/10.1109/tvcg.2018.2865142.
Pełny tekst źródłaSanthanavanich, T., S. Schneider, P. Rodrigues i 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.
Pełny tekst źródłaHashimoto, Yoshiki, Daisaku Arita, Atsushi Shimada, Takashi Yoshinaga, Takashi Okayasu, Hideaki Uchiyama i 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.
Pełny tekst źródłaChong-White, Nicky, Joseph Tagudin i 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 (1.10.2023): A206—A207. http://dx.doi.org/10.1121/10.0023293.
Pełny tekst źródłaShandhi, Md Mobashir Hasan, Jennifer C. Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V. Kotla, Alina Feng, Yihang Jiang i in. "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.
Pełny tekst źródłaAnkrah, Elizabeth A., Franceli L. Cibrian, Lucas M. Silva, Arya Tavakoulnia, Jesus A. Beltran, Sabrina E. B. Schuck, Kimberley D. Lakes i 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.
Pełny tekst źródłaDong, 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.
Pełny tekst źródłaRozprawy doktorskie na temat "Smartwatch visualization"
Islam, Mohammad Alaul. "Visualizations for Smartwatches and Fitness Trackers". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG018.
Pełny tekst źródłaThis 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
Części książek na temat "Smartwatch visualization"
Bathelt, Franziska, Ines Reinecke, Brita Sedlmayr, Sepp Höhne, Christian Gierschner i Martin Sedlmayr. "Visualization of Medical Wearable-Data Using SMART-on-FHIR – A Concept for an Interdisciplinary Complex Practical Course". W Studies in Health Technology and Informatics. IOS Press, 2022. http://dx.doi.org/10.3233/shti220908.
Pełny tekst źródłaStreszczenia konferencji na temat "Smartwatch visualization"
Islam, Alaul, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck i Petra Isenberg. "Visualizing Information on Watch Faces: A Survey with Smartwatch Users". W 2020 IEEE Visualization Conference (VIS). IEEE, 2020. http://dx.doi.org/10.1109/vis47514.2020.00038.
Pełny tekst źródłaBlascheck, Tanja, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Alaul Islam, Tingying He i Petra Isenberg. "Studies of Part-to-Whole Glanceable Visualizations on Smartwatch Faces". W 2023 IEEE 16th Pacific Visualization Symposium (PacificVis). IEEE, 2023. http://dx.doi.org/10.1109/pacificvis56936.2023.00028.
Pełny tekst źródłaGrioui, Fairouz, i Tanja Blascheck. "Heart Rate Visualizations on a Virtual Smartwatch to Monitor Physical Activity Intensity". W 14th International Conference on Information Visualization Theory and Applications. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011665500003417.
Pełny tekst źródłaWu, Ko-Chiu, Chun-Ching Chen, Tzu-Heng Chiu i I.-Jen Chiang. "Transform children's library into a mixed-reality learning environment: Using smartwatch navigation and information visualization interfaces". W 2017 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC). IEEE, 2017. http://dx.doi.org/10.23919/pnc.2017.8203526.
Pełny tekst źródłaGrioui, Fairouz, i Tanja Blascheck. "Study of Heart Rate Visualizations on a Virtual Smartwatch". W 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.
Pełny tekst źródłaSchiewe, Alexander, Andrey Krekhov, Frederic Kerber, Florian Daiber i Jens Krüger. "A Study on Real-Time Visualizations During Sports Activities on Smartwatches". W MUM 2020: 19th International Conference on Mobile and Ubiquitous Multimedia. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3428361.3428409.
Pełny tekst źródłaIslam, Alaul, Ranjini Aravind, Tanja Blascheck, Anastasia Bezerianos i Petra Isenberg. "Preferences and Effectiveness of Sleep Data Visualizations for Smartwatches and Fitness Bands". W 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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