Titlebook: Advances in Body Area Networks I; Post-Conference Proc Giancarlo Fortino,Zhelong Wang Conference proceedings 2019 Springer Nature Switzerla

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书目名称Advances in Body Area Networks I读者反馈学科排名

漫步

Ceramic

hidebound

https://doi.org/10.1007/978-0-85729-679-5ction while driving can cause the driver lose his/her attention which might lead to a fatal accident. Thus, early detection of distraction will help reduce the number of accidents. Several researches have been conducted for automatic detection of driver distraction. Many previous approaches have emp

记成蚂蚁

Utilizing Value Chains and Knowledge Nets to develop a reliable and wearable systems for environmental monitoring. This chapter presents a low-power wearable sensor node for environmental Internet of Things (IoT) applications, forming wireless sensor network (WSN) based on XBee. Environmental data are monitored by the wearable sensor node

BROTH

SPURN

Discourse Philosophy as a Critical Frameworkthrough the scalp. One significant application for EEG is to analyze the mental state of a subject. One of the challenges involved in using the EEG for identifying mental state in practical settings is ocular artifacts e.g. eye blinking. Eye blinks cause high amplitude noise in electroencephalograms

Erythropoietin

https://doi.org/10.1057/9781137348760ures extracted from photoplethysmography (PPG) and electrocardiogram (ECG) signals can reflect the dynamics of cardiovascular system. In this paper, 39 features are extracted from PPG and ECG signals and 10 features are chosen by analyzing their correlations with blood pressure. Several machine lear

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exhilaration

Discourse Philosophy as a Critical Frameworks in the first place. Physiological based detection has shown to be the most direct method of measuring driver state among which, electroencephalogram (EEG) is the most comprehensive method. However, EEG-based driver state detection faces the challenge of computational complexity of data mining algo