Monitoring of driver’s biomedical signals using LoRa-based wireless communications

Wu, Hsin-Hsien; Lee, Da-Huei

doi:10.1587/elex.18.20210104

Cited by 2 publications

(1 citation statement)

References 29 publications

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“…Since the construction of indicators for the evaluation system is based on a true inspection of the curriculum. Then these indicators must have a certain degree of feasibility [15][16][17]. Evaluation indicators that exceed the actual scope of the classroom are not only not conducive to improving the effect of classroom teaching but even can backfire, only to ensure theory and practice.…”

Section: Principles Of Feasibility and Developmentmentioning

confidence: 99%

The Evaluation of University Course Quality under the Background of Wireless Communication and Big Data

Bo-en

2022

Wireless Communications and Mobile Computing

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In recent years, education issues have been the focus of attention from all walks of life. An important indicator for measuring the level of education in colleges and universities is the quality of teaching. It determines the level of the students' basic quality that is the target of training. Curriculum is the core of forming teaching quality and the core element of cultivating talents. Curriculum evaluation is an important means to detect and diagnose the teaching quality of schools and the source of talent training quality.The purpose of this article is to study the quality evaluation system of college courses under the background of wireless communication and big data, taking students as the initiators of evaluation activities, positioning the factors that they are interested in, and referring to the selection of evaluation indicators in other research results to determine the evaluation system of this study. Through students’ evaluation of Japanese MOOC courses, the evaluation system constructed by the laboratory is evaluated. The method of collecting evaluation data is to issue electronic questionnaires and then perform statistical analysis on the results of the questionnaires after collection, to understand the current status of MOOC course learning and the degree of recognition between learners and evaluation indicators. Through the analysis of the questionnaire data, the reliability and validity of the questionnaire are tested to ensure the validity and reliability of the questionnaire data. The evaluation indicators are screened by factor analysis, and the entropy method is used to determine the weight of the evaluation indicators, thus forming the final MOOC course evaluation. Reorganizing and constructing the Japanese curriculum quality evaluation index system conforms to the general law of the construction of the index system.

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Section: Principles Of Feasibility and Developmentmentioning

confidence: 99%

The Evaluation of University Course Quality under the Background of Wireless Communication and Big Data

Bo-en

2022

Wireless Communications and Mobile Computing

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Wearable Fall Detectors Based on Low Power Transmission Systems: A Systematic Review

Villa,

Casilari

2024

Technologies

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Early attention to individuals who suffer falls is a critical aspect when determining the consequences of such accidents, which are among the leading causes of mortality and disability in older adults. For this reason and considering the high number of older adults living alone, the development of automatic fall alerting systems has garnered significant research attention over the past decade. A key element for deploying a fall detection system (FDS) based on wearables is the wireless transmission method employed to transmit the medical alarms. In this regard, the vast majority of prototypes in the related literature utilize short-range technologies, such as Bluetooth, which must be complemented by the existence of a gateway device (e.g., a smartphone). In other studies, standards like Wi-Fi or 3G communications are proposed, which offer greater range but come with high power consumption, which can be unsuitable for most wearables, and higher service fees. In addition, they require reliable radio coverage, which is not always guaranteed in all application scenarios. An interesting alternative to these standards is Low Power Wide Area Network (LPWAN) technologies, which minimize both energy consumption and hardware costs while maximizing transmission range. This article provides a comprehensive search and review of that works in the literature that have implemented and evaluated wearable FDSs utilizing LPWAN interfaces to transmit alarms. The review systematically examines these proposals, considering various operational aspects and identifying key areas that have not yet been adequately addressed for the viable implementation of such detectors.

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Monitoring of driver’s biomedical signals using LoRa-based wireless communications

Cited by 2 publications

References 29 publications

The Evaluation of University Course Quality under the Background of Wireless Communication and Big Data

The Evaluation of University Course Quality under the Background of Wireless Communication and Big Data

Wearable Fall Detectors Based on Low Power Transmission Systems: A Systematic Review

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