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Leverage of Industrial Engineering Education for Sustainable Manufacturing Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Sustainable Data Collection Framework: Real-Time, Online Data Visualization

Authors : Tien-Lung Sun, Gustavo Adolfo Miranda Salgado

Published in: Sustainable Design and Manufacturing 2017

Publisher: Springer International Publishing

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Abstract

This paper presents a comprehensive data collection framework focused on retrieving data from an inertial sensor using a smartphone device. The aim of this study is to present a low-cost and sustainable data collection framework solution based on previous data framework model developed. The proposed framework will allow the users (doctors, physicians, patients, family members, etc.) to visualize online the real-time performance results, as the patience carries out its physical therapy. The data collection framework utilizes an in-house developed smartphone app and open source software for the server/client interaction. The data collection framework has been test by collecting information from different exercise machines and free movement exercises. The tests show that the real-time data collection framework proposed is reliable in capturing, recording and displaying the data obtained during a training exercise session, aiming toward the tracking people’s quality of life.

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previous chapter Optimization of Electrical Discharge Machining Parameters of Co-Cr-Mo Using Central Composite Design
next chapter Performance Analysis on Fitness Equipment: Application of an Inertial Sensor Toward Quality of Life
Literature
1.
Chen, C., et al.: Making sense of mobile health data: an open architecture to improve individual- and population-level health. J. Med. Internet Res. 14(4), e112 (2012)CrossRef
2.
Shuang, W., Skubic, M., Yingnan, Z.: Activity density map visualization and dissimilarity comparison for eldercare monitoring. IEEE Trans. Inf. Technol. Biomed. 16(4), 607–614 (2012)CrossRef
3.
Rantz, M.J., et al.: Developing a comprehensive electronic health record to enhance nursing care coordination, use of technology, and research. J. Gerontol. Nurs. 36(1), 13–17 (2010)CrossRef
4.
Chen, C., Dawadi, P.: CASASviz: web-based visualization of behavior patterns in smart environments. In: International Conference on Pervasive Computing and Communications, pp. 301–303 (2011)
5.
Howcroft, J., Kofman, J., Lemaire, E.D.: Review of fall risk assessment in geriatric populations using inertial sensors. J. NeuroEng. Rehabil. 10(1), 1–12 (2013)CrossRef
6.
Robben, S., et al.: Longitudinal ambient sensor monitoring for functional health assessments: a case study. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, Seattle, Washington, pp. 1209–1216. ACM (2014)
7.
de Folter, J., et al.: Designing effective visualizations of habits data to aid clinical decision making. BMC Med. Inform. Decis. Making 14(1), 1–13 (2014)CrossRef
8.
Korhonen, I., Pärkkä, J., Van Gils, M.: Health monitoring in the home of the future. IEEE Eng. Med. Biol. Mag. 22(3), 66–73 (2003)CrossRef
9.
Klimov, D., Shahar, Y., Taieb-Maimon, M.: Intelligent visualization and exploration of time-oriented data of multiple patients. Artif. Intell. Med. 49(1), 11–31 (2010)CrossRef
10.
Martins, S.B., et al.: Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data. Artif. Intell. Med. 43(1), 17–34 (2008)CrossRef
11.
Wang, T., et al.: Extracting insights from electronic health records: case studies, a visual analytics process model, and design recommendations. J. Med. Syst. 35(5), 1135–1152 (2011)CrossRef
12.
Moura, D., el-Nasr, M.S., Shaw, C.D.: Visualizing and understanding players’ behavior in video games: discovering patterns and supporting aggregation and comparison. In: Proceedings of the 2011 ACM SIGGRAPH Symposium on Video Games, Vancouver, British Columbia, Canada, pp. 11–15. ACM (2011)
13.
Le, T., et al.: Design of smart home sensor visualizations for older adults. Technol. Health Care 22(4), 657–666 (2014)
14.
Alexander, G.L., et al.: Generating sensor data summaries to communicate change in elder’s health status. Appl. Clin. Inform. 5(1), 73–84 (2014)CrossRef
15.
Caprani, N., et al.: Exploring healthcare professionals’ preferences for visualising sensor data. In: Proceedings of the 2015 British HCI Conference, Lincoln, Lincolnshire, UK, pp. 26–34. ACM (2015)
16.
Pham, T., et al.: Interactive visual analysis promotes exploration of long-term ecological data. Ecosphere 4(9), 1–22 (2013). Article No. 112CrossRef
17.
Hesse, B.W., et al.: Social participation in health 2.0. Computer 43(11), 45 (2010)CrossRef
18.
Shneiderman, B., Plaisant, C., Hesse, B.W.: Improving healthcare with interactive visualization. Computer 46(5), 58–66 (2013)CrossRef
Metadata
Title
Sustainable Data Collection Framework: Real-Time, Online Data Visualization
Authors
Tien-Lung Sun
Gustavo Adolfo Miranda Salgado
Copyright Year
2017
Book
Sustainable Design and Manufacturing 2017

Print ISBN: 978-3-319-57077-8

Electronic ISBN: 978-3-319-57078-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-57078-5_6

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