Learn More
This paper describes wireless wearable and ambient sensors that cooperate to monitor a person's vital signs such as heart rate and blood pressure during daily activities. Each wearable sensor is attached on different parts of the body. The wearable sensors require a high sampling rate and time synchronization to provide a precise analysis of the received(More)
Collecting and analyzing various personal biological and environmental sensing data is important for various medical services, for example, lifestyle self-check support, personalized medical support and medical studies for the public purpose. We aim to deploy in 5 to 10 years and are studying on a physiological and environmental information processing(More)
The development of a micro gas preconcentrator is crucial for the realization of miniaturized gas chromatography (micro-GC) systems which are expected to open up new applications such as breath analysis. One of the major problems with the reduction of preconcentrator size by miniaturization is the availability of a sorbent material which provides high(More)
We report a microfabricated gas chromatography (GC) column that uses a thin layer of high-quality single-walled carbon nanotubes (SWNTs) as a stationary phase. This 1.0-m-long, 160-μm-wide, 250-μm-deep column has the highest separation efficiency reported to date for microfabricated columns having an SWNT stationary phase. Separation efficiency was(More)
Recognition of human “emotions” or “feelings” from voice is important to research on human communications. Although there has been much research on emotions or feelings in voice, definitions of these terms have been inconsistent. We reviewed previous papers in linguistics, brain science, information science, etc. and developed(More)
We have developed a new method to estimate no only stress occurrence, but also various workplace stress types. The method relies on adaptive selection of physiological indices integrated into an intelligent multi-steps discrimination process. Preliminary results revealed the method promising to improve estimation accuracy of workplace stress types. The(More)