Literatura científica selecionada sobre o tema "Smartwatch visualization"
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Artigos de revistas sobre o assunto "Smartwatch visualization"
Cui, Zhe, Shivalik Sen, Sriram Karthik Badam e Niklas Elmqvist. "VisHive: Supporting web-based visualization through ad hoc computational clusters of mobile devices". Information Visualization 18, n.º 2 (23 de janeiro de 2018): 195–210. http://dx.doi.org/10.1177/1473871617752910.
Texto completo da fonteDey, Bijoy Kumar, Ritika Khan e Mainak Kunai. "Analysis of Fitness Based on Smart Watch Data". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 02 (3 de fevereiro de 2024): 1–10. http://dx.doi.org/10.55041/ijsrem28514.
Texto completo da fonteHidayaturrohman, Qisthi Alhazmi, M. Arifudin Lukmana e Akhmad Nidhomuz Zaman. "Design of human heartbeat monitoring system based on wireless sensor networks". Techné : Jurnal Ilmiah Elektroteknika 22, n.º 2 (5 de dezembro de 2023): 207–16. http://dx.doi.org/10.31358/techne.v22i2.354.
Texto completo da fonteBlascheck, Tanja, Lonni Besancon, Anastasia Bezerianos, Bongshin Lee e Petra Isenberg. "Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches". IEEE Transactions on Visualization and Computer Graphics 25, n.º 1 (janeiro de 2019): 630–40. http://dx.doi.org/10.1109/tvcg.2018.2865142.
Texto completo da fonteSanthanavanich, T., S. Schneider, P. Rodrigues e 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 de setembro de 2018): 115–22. http://dx.doi.org/10.5194/isprs-annals-iv-4-w7-115-2018.
Texto completo da fonteHashimoto, Yoshiki, Daisaku Arita, Atsushi Shimada, Takashi Yoshinaga, Takashi Okayasu, Hideaki Uchiyama e Rin-Ichiro Taniguchi. "Yield Visualization Based on Farm Work Information Measured by Smart Devices". Sensors 18, n.º 11 (13 de novembro de 2018): 3906. http://dx.doi.org/10.3390/s18113906.
Texto completo da fonteChong-White, Nicky, Joseph Tagudin e Jorge Mejia. "Advancing hearing research with the NAL ecologically momentary assessment platform for real-world insights". Journal of the Acoustical Society of America 154, n.º 4_supplement (1 de outubro de 2023): A206—A207. http://dx.doi.org/10.1121/10.0023293.
Texto completo da fonteShandhi, 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, n.º 9 (15 de setembro de 2021): e29875. http://dx.doi.org/10.2196/29875.
Texto completo da fonteAnkrah, Elizabeth A., Franceli L. Cibrian, Lucas M. Silva, Arya Tavakoulnia, Jesus A. Beltran, Sabrina E. B. Schuck, Kimberley D. Lakes e Gillian R. Hayes. "Me, My Health, and My Watch: How Children with ADHD Understand Smartwatch Health Data". ACM Transactions on Computer-Human Interaction, 20 de dezembro de 2022. http://dx.doi.org/10.1145/3577008.
Texto completo da fonteDong, Miaomiao. "Investigating the Users’ Preferences of Heart Rate Data Types and Visualizations on a Smartwatch". International Journal of Human–Computer Interaction, 18 de julho de 2023, 1–22. http://dx.doi.org/10.1080/10447318.2023.2233130.
Texto completo da fonteTeses / dissertações sobre o assunto "Smartwatch visualization"
Islam, Mohammad Alaul. "Visualizations for Smartwatches and Fitness Trackers". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG018.
Texto completo da fonteThis 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
Capítulos de livros sobre o assunto "Smartwatch visualization"
Bathelt, Franziska, Ines Reinecke, Brita Sedlmayr, Sepp Höhne, Christian Gierschner e 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Smartwatch visualization"
Islam, Alaul, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck e 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.
Texto completo da fonteBlascheck, Tanja, Lonni Besançon, Anastasia Bezerianos, Bongshin Lee, Alaul Islam, Tingying He e 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.
Texto completo da fonteGrioui, Fairouz, e 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.
Texto completo da fonteWu, Ko-Chiu, Chun-Ching Chen, Tzu-Heng Chiu e 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.
Texto completo da fonteGrioui, Fairouz, e 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.
Texto completo da fonteSchiewe, Alexander, Andrey Krekhov, Frederic Kerber, Florian Daiber e 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.
Texto completo da fonteIslam, Alaul, Ranjini Aravind, Tanja Blascheck, Anastasia Bezerianos e 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.
Texto completo da fonte