Takashi Hamatani

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Monitoring body core temperature is important to prevent heat stroke. Core temperature is often measured as rectal or tympanic temperature which is difficult to monitor during activities. In this paper, we propose a method to estimate core temperature based on the two-node human thermal model by using wearable sensors. For accurate estimation, infeasible(More)
In this paper, we propose a non-invasive method to estimate core temperature based on a human thermal model considering individual differences using a wrist-watch wearable sensor. The method employs the two-node model to simulate the change of core and skin temperature by calculating heat exchange between core, skin and environment and heat production in(More)
Core temperature is important to evaluate the effect of heat environment and/or exercise on human body. Human body usually emits its heat by thermal regulation function such as sweating and increasing of skin blood flow. However, failure of the system occurs among people who are not accustomed to hot environment. This makes core temperature extremely high,(More)
In this paper, we present a novel application, HeatWatch, which predicts heatstroke and prevents heatstroke by ensuring users breaking and water intake. The application estimates user's core temperature based on human thermal model and vital sensors equipped with smart watches. We also designed the application tracks user's water intake by assuming to apply(More)
Water accounts for about 60% of the human body, and when the body loses it (e.g., through urine, sweat, etc.) in higher rate than its intake rate (through drinking), dehydration symptoms occur. The dehydration causes many severe health problems like organ and cognitive impairment. Therefore, it is critical for the human to drink water in a sustained manner(More)
For real-time feedback and cost-efficient analysis from sport videos, it is essential to automatically identify players. In this paper, we propose a method for identifying sport players in videos. Our method uses wearable sensors to obtain their motions. Player identification is achieved by motion feature matching between (unknown) players in videos and(More)
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