An Intelligent Care System for the Aged having Gentle Functions to Environment

在这项研究中，我们研究了智能护理系统的基金会，以便使智能护理系统老化，使环境变得温和。结果就像在后面一样。使用遗传算法对气体传感器响应的人类活动的识别。使用遗传算法对多气体传感器响应的特征提取。睡眠期间的锡氧化物气体传感器的特征学，以人体生命体征。使用气体传感器特征学中成员资格函数的舒适指数预测。气体-在室内空间中产生事件估计的意义，即遥感和隔膜处理。关于传感器代理对空气污染方向的估计及其实验模拟的建议。从气体传感器响应中提取驾驶信息-通过遗传算法从气体传感器的状态中提取。室内热指数对锡氧化物气体传感器输出和对其输出的预测的影响。

In this research, we executed the foundation of research of the Intelligent Care System for the Aged having Gentle Functions to Environment. The results are as follows.・Recognition of Human Activities by Gas Sensor Response Using Genetic Algorithm.・Feature Extraction of Multi-Gas Sensor Responses Using Genetic Algorithm.・Characteristics of Tin Oxide Gas Sensors for Human Vital Signs during Sleep.・Prediction of Comfortable Index Using Membership Function on Gas Sensor Characteristics.・Gas-Generating Events Estimation by Means of Remote Sensing and Cepstrum Processing in an Indoor Space.・Proposition of Sensor Agent for Estimation of Air-Pollution Direction and its Experimental Simulation.・Extraction of Information of Driving-State from a Gas Sensor Response by Genetic Algorithm.・Influence of Indoor Thermal Indexes to a Tin Oxide Gas Sensor Output and prediction of its Output.