A Care System for the Aged using AI and Sensors

在这项研究中，我们为使用人工智能和传感器的老年护理系统设计了研究基础。结果就像在后面一样。关于锡氧化物气体传感器对温度和湿度变化的反应的模型。对气体室内的气体污染物进行检测-使用多气体传感器系统和生产。气体产生事件估计在室内空间中使用远程传感和容器处理。使用近似反向过滤器提取人类活动函数。用遗传算法对气体传感器响应的识别人类活动。

In this research, we executed the foundation of research of the care system for the aged using AI and Sensors. The results are as follows.・A modeling of tin-oxide gas sensor responses for temperature and humidity changes.・Detection of gaseous indoor-air pollutants using multi gas sensor system and a Production.・Gas-generating events estimation using remote sensing and cepstrum processing in an indoor space.・Extraction of human activity function using approximate inverse filter.・Recognition of human activities by gas sensor response using genetic algorithm.