journal article·2014

Software architecture and stress tracker utilising nanofibre technique-based smart clothes

Hee Cheol Kim, Tae Woong Kim, Mun Il Joo, Jun Su Kim, Kayoung Lee, Yao Meng, Sang Hoon Yi, Gi Soo Chung

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Abstract

Smart clothes containing nanoweb-based biosensors to acquire vital signs, known as wellness wear, have great potentiality as a wearable computing device that helps care for and promote health. This paper firstly presents a wellness wear system that we are currently developing, primarily discussing two crucial technologies of biosensors and digital yarns transmitting data, which play an important role to support comfort and wearability. Secondly, it also presents both software architecture, essential as a fundamental basis to provide sustainable and seamless various medical services, and a software application involving a stress tracker working together with the wellness wear system. The stress tracker as an example of healthcare devices, running on an Android-based smart phone, analyses the electrocardiograph (ECG) data obtained from wellness wear and provides a programme to evaluate users’ autonomous nervous system (ANS) which controls mental stress, and to give them proper biofeedback.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials

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