High-Accuracy Fecal Odor Gas Detection Using a Gas Sensor Device and Machine Learning

We present a fecal odor measurement healthcare system for toilets, which employs a gas sensor device and a gas concentration estimation technique based on neural networks. Fecal odor contains a mixture of gases, including low concentrations of sulfur-based gases and high concentrations of hydrogen and carbon dioxide gases as well as gas humidity. The proposed system can identify various types of fecal gases and accurately estimate individual gas concentrations.