Relevant bibliographies by topics / Smartwatch visualization

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smartwatch visualization'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Smartwatch visualization"

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Dong, Miaomiao, Ze Bian, and Yuan Zhu. "From data collection to design principles: A study of smartwatch faces for enhanced information visualization." PLOS One 20, no. 7 (2025): e0327647. https://doi.org/10.1371/journal.pone.0327647.

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With the surge in smartwatch popularity, presenting diverse data on a compact screen poses significant challenges. Previous research has primarily focused on the visual design of smartwatch faces, with limited exploration into how information interacts with users. Moreover, these studies have inadequately addressed interaction and practicality in information visualization. Our work analyzed 518 Huawei and 435 Facer smartwatch faces, synthesizing existing design elements and integrating insights from prior literature to propose a structured design framework that encompasses five key dimensions:
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Cui, Zhe, Shivalik Sen, Sriram Karthik Badam, and Niklas Elmqvist. "VisHive: Supporting web-based visualization through ad hoc computational clusters of mobile devices." Information Visualization 18, no. 2 (2018): 195–210. http://dx.doi.org/10.1177/1473871617752910.

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Current web-based visualizations are designed for single computers and cannot make use of additional devices on the client side, even if today’s users often have access to several, such as a tablet, a smartphone, and a smartwatch. We present a framework for ad hoc computational clusters that leverage these local devices for visualization computations. Furthermore, we present an instantiating JavaScript toolkit called VisHive for constructing web-based visualization applications that can transparently connect multiple devices—called cells—into such ad hoc clusters—called a hive—for local comput
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Ramakrishnan, R., and P. Angarika. "SMART WATCH DATA ANALYSIS USING PYTHON AND HUMAN HEALTH PREDICTION." International Scientific Journal of Engineering and Management 03, no. 12 (2024): 1–5. https://doi.org/10.55041/isjem02154.

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This project leverages smartwatch fitness data to predict health patterns and monitor daily activity trends, underscoring the role of wearables in personal health management. Using Python, Pandas, and Plotly, it handles data preprocessing, visualization, and predictive analysis on metrics such as step counts, calories burned, and active minutes. Data preprocessing includes managing missing values and standardizing the "Activity Date" field. Descriptive statistics and visualizations, including scatter plots, pie charts, and bar charts, uncover trends and behavioral patterns. Descriptive statist
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Dey, Bijoy Kumar, Ritika Khan, and Mainak Kunai. "Analysis of Fitness Based on Smart Watch Data." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem28514.

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Smart watch, a new trend to many young as well as aged persons now a days, can serve as a fitness tracker and be far more accurate than a phone. Besides many technological advantages, a smartwatch can easily collect the data related to fitness and other movements also. Smart watch provides such an organized human health and activities dataset so that by this dataset a human activities analysis can be performed and by this analysis a conclusion can be drawn about their health. Accordingly, our Project aim is to analyze the data and examine whether the data collected through smart watches can de
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Hidayaturrohman, Qisthi Alhazmi, M. Arifudin Lukmana, and Akhmad Nidhomuz Zaman. "Design of human heartbeat monitoring system based on wireless sensor networks." Techné : Jurnal Ilmiah Elektroteknika 22, no. 2 (2023): 207–16. http://dx.doi.org/10.31358/techne.v22i2.354.

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The IoT technology plays an important role in Industry 4.0 revolution. The IoT technology has potential to be implemented in the medical industry, especially for the development of telemedicine system. IoT able to send the medical sensor data wirelessly to the nearest medical facility like hospital. In this research, the author designed the heart beat monitoring system by using 802.11 communication protocol and simple web interface. The pulse sensor that used in this research was able to read the pulse rate of the human and convert it to BPM (beat per minute). It has 98.89% accuracy and 1.11%
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Blascheck, Tanja, Lonni Besancon, Anastasia Bezerianos, Bongshin Lee, and Petra Isenberg. "Glanceable Visualization: Studies of Data Comparison Performance on Smartwatches." IEEE Transactions on Visualization and Computer Graphics 25, no. 1 (2019): 630–40. http://dx.doi.org/10.1109/tvcg.2018.2865142.

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Santhanavanich, T., S. Schneider, P. Rodrigues, and 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 (September 20, 2018): 115–22. http://dx.doi.org/10.5194/isprs-annals-iv-4-w7-115-2018.

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<p><strong>Abstract.</strong> According to the advances in Information & Communication Technology (ICT), nowadays, the use of Internet of Things (IoT) has become a normal part of daily life. It allows interconnections among a wide variety of devices and sensors such as smartphones, smartwatches, automobiles, or any object with a built-in sensor. However, these devices and sensors are developed by numerous different manufacturers which leads to technology lock-in in terms of data formats and protocols. In order of address this heterogeneity, an interoperable sensor pro
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Hashimoto, Yoshiki, Daisaku Arita, Atsushi Shimada, et al. "Yield Visualization Based on Farm Work Information Measured by Smart Devices." Sensors 18, no. 11 (2018): 3906. http://dx.doi.org/10.3390/s18113906.

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This paper proposes a new approach to visualizing spatial variation of plant status in a tomato greenhouse based on farm work information operated by laborers. Farm work information consists of a farm laborer’s position and action. A farm laborer’s position is estimated based on radio wave strength measured by using a smartphone carried by the farm laborer and Bluetooth beacons placed in the greenhouse. A farm laborer’s action is recognized based on motion data measured by using smartwatches worn on both wrists of the farm laborer. As experiment, harvesting information operated by one farm lab
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Chong-White, Nicky, Joseph Tagudin, and Jorge Mejia. "Advancing hearing research with the NAL ecologically momentary assessment platform for real-world insights." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A206—A207. http://dx.doi.org/10.1121/10.0023293.

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Ecological Momentary Assessment (EMA) is an invaluable tool for assessing people's behaviours and experiences in their natural surroundings. We have developed a smartphone-based EMA tool, called NEMA, that has contributed to over 10 research studies by providing meaningful real-world insights into how individuals with hearing loss interact with various hearing device technologies. By providing real-world perspectives that complement traditional lab-based tests, NEMA offers a more comprehensive understanding of everyday hearing and communication challenges. Its advanced features include cloud-c
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So, Junyong, Sekyoung Youm, and Sojung Kim. "A Human Body Simulation Using Semantic Segmentation and Image-Based Reconstruction Techniques for Personalized Healthcare." Applied Sciences 14, no. 16 (2024): 7107. http://dx.doi.org/10.3390/app14167107.

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The global healthcare market is expanding, with a particular focus on personalized care for individuals who are unable to leave their homes due to the COVID-19 pandemic. However, the implementation of personalized care is challenging due to the need for additional devices, such as smartwatches and wearable trackers. This study aims to develop a human body simulation that predicts and visualizes an individual’s 3D body changes based on 2D images taken by a portable device. The simulation proposed in this study uses semantic segmentation and image-based reconstruction techniques to preprocess 2D
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Dissertations / Theses on the topic "Smartwatch visualization"

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Islam, Mohammad Alaul. "Visualizations for Smartwatches and Fitness Trackers." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG018.

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Cette thèse porte sur la recherche sur la conception et l'utilisation de micro-visualisations pour l'exploration de données mobiles et pervasives sur des smartwatches et des trackers de fitness. Les gens portent de plus en plus de smartwatches qui peuvent suivre et afficher une grande variété de données. Mon travail est motivé par les avantages potentiels des visualisations de données sur les petits appareils mobiles tels que les brassards de suivi de la condition physique et les smartwatches. Je me concentre sur les situations dans lesquelles les visualisations soutiennent des tâches spécifiq
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Book chapters on the topic "Smartwatch visualization"

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Neshati Ali, Sakamoto Yumiko, and Irani Pourang. "Challenges in Displaying Health Data on Small Smartwatch Screens." In Studies in Health Technology and Informatics. IOS Press, 2019. https://doi.org/10.3233/978-1-61499-951-5-325.

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Using smartwatches for self-tracking purposes has become increasingly common. This tracking is possible as a result of the many sensors embedded in modern smartwatches including GPS, heart rate monitor, accelerometer, and gyroscope. The ability to obtain personal health-related data is one of the most compelling reason to purchase such devices. However, form factor limitations create numerous challenges for users hoping to access and interpret the data available. Typically, users rely on a secondary device, such as a smartphone to view health data. The aim of our research is to identify method
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Bathelt, Franziska, Ines Reinecke, Brita Sedlmayr, Sepp Höhne, Christian Gierschner, and 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.

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For the success of digital applications, especially AI applications, it is essential that both developers and medical professionals are enabled to understand each other’s perspective. For this reason, a new concept for an interdisciplinary complex practical course was developed for the master’s program in computer science at a German university, based on online learning nuggets and a hackathon on site. The core of the concept is a real-world medical application task: extracting ECG patient data from a smartwatch to support primary care physicians in making decisions regarding an action. The co
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Conference papers on the topic "Smartwatch visualization"

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Grioui, Fairouz, Tanja Blascheck, Lijie Yao, and Petra Isenberg. "Micro Visualizations on a Smartwatch: Assessing Reading Performance While Walking." In 2024 IEEE Visualization and Visual Analytics (VIS). IEEE, 2024. https://doi.org/10.1109/vis55277.2024.00017.

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Islam, Alaul, Anastasia Bezerianos, Bongshin Lee, Tanja Blascheck, and 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.

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Blascheck, Tanja, Lonni Besançon, Anastasia Bezerianos, et al. "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.

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Grioui, Fairouz, and 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.

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Wu, Ko-Chiu, Chun-Ching Chen, Tzu-Heng Chiu, and 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.

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Shi, Jiaxin, Yujia Du, Le Chang, and Haining Wang. "Design Tool for Smartwatch Form Aesthetics Evaluation Based on Principal Component Regression." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006172.

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This study presents an aesthetic evaluation system for smartwatches based on Principal Component Regression (PCR). User reviews and product parameters were collected from platforms like Taobao and JD.com using web scraping techniques, and 38 attributes related to form aesthetics were extracted through literature review and interviews. Using card sorting, these attributes were reduced to six core evaluation attributes: style, color, material, dial, strap, and overall feel. A predictive model for form aesthetics evaluation was developed, along with a visualization system. The results show that d
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Grioui, Fairouz, and Tanja Blascheck. "Study of Heart Rate Visualizations on a Virtual Smartwatch." In VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology. ACM, 2021. http://dx.doi.org/10.1145/3489849.3489913.

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Schiewe, Alexander, Andrey Krekhov, Frederic Kerber, Florian Daiber, and Jens Krüger. "A Study on Real-Time Visualizations During Sports Activities on Smartwatches." In MUM 2020: 19th International Conference on Mobile and Ubiquitous Multimedia. ACM, 2020. http://dx.doi.org/10.1145/3428361.3428409.

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Islam, Alaul, Ranjini Aravind, Tanja Blascheck, Anastasia Bezerianos, and 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. ACM, 2022. http://dx.doi.org/10.1145/3491102.3501921.

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