LiftingDoneRight
| Autor: | Chaomin Luo, Ann Reinthal, Glenn Goodman, Abou-Bakar M. Fofana, Xiong Luo, Roanna Lun, Wenbing Zhao, Deborah D. Espy, Connor Gordon, Joan Niederriter, Beth Ekelman |
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| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Best practice Text display 020207 software engineering Tracking system Usability 02 engineering and technology Permission Computer security computer.software_genre Motion (physics) Smartwatch 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Single sign-on business computer |
| Zdroj: | International Journal of Handheld Computing Research. 7:1-15 |
| ISSN: | 1947-9166 1947-9158 |
| DOI: | 10.4018/ijhcr.2016070101 |
| Popis: | This article describes the design and implementation of LiftingDoneRight, a novel system for healthcare professionals to enhance their compliance with best practices and regulations regarding proper body mechanics for lifting and pulling activities. The system uses Microsoft Kinect to track the motion of consented users non-intrusively. The system relies on the use of a smartwatch to deliver an alert via vibration and text display whenever a wrong activity that violated the proper body mechanics has been detected. A core contribution of this study is a registration mechanism for a healthcare professional to explicitly give permission to the system to monitor his or her activities. Furthermore, a non-intrusive biometrics-based single sign-on mechanism is incorporated into the system to allow a user to be automatically identified for tracking as long as the user has manually registered with the system before. Finally, the system offers a number of configurations to accommodate different usability needs and privacy requirements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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