• Title/Summary/Keyword: 라이프케어 단말기

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Development of u-Lifecare Monitoring System Device (u-라이프케어 모니터링 시스템 단말기 개발)

  • Choi, Dong-Oun;Kang, Yun-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1533-1540
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    • 2012
  • u-Life care device collect body bio formation, and classify and store them in exercise patterns. Afterwards, the devices send the data through bluetooth wireless communication to the smart phones which set Google Android operation system at regular intervals. The information is checked out through application. u-Life care device calculates calories spent a day after monitoring activity quantity with 3-axis acceleration sensor. The device judges the status of health through body data mining and consults tailored exercise treatment. When sending body data, the device sends them in smart phone through Blue Tooth wireless communication at once. So, as a strong point, the device doesn't need mobile gateway or home gateway used for sending to web server information sensed from exercise life care products.

Consumers' preference about the attributes of 3rd generation device (3세대 디바이스의 속성별 소비자 선호 분석)

  • Jung, Jae-Young;Lee, Joo-Suk;Kwak, Seung-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.3
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    • pp.703-710
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    • 2017
  • Third-generation (3G) devicesare next-generation devices that allow the use of intelligent services and applications through the Internet of Things (IoT). As the market forexisting smart devices like smartphones and tablet PCs enters the stage of stagnation, the world is now focusing on 3G devices, parts, and services. This study is intended to measure the user's benefits from the various attributes of 3G devices by applying an economic valuation method. For this purpose, the conjoint analysis method was applied, which is one of the representative valuation methods. To apply conjoint analysis, the following attributes of 3G devicesare considered: mode of use, power efficiency, life care, and price. By applying the mixed logit model, the marginal willingness-to-pay(WTP) for each attribute was derived. The results are statistically significant. Respondents showed a high preference or complete flexibility in the mode of use attribute. And they were also found to have WTP for improvements in the life care attribute. The implications and quantitative results of this study are expected to be useful for policies and strategies in the 3G device market.