Real-Time Cleaning Activity Support System using Accelerometer and Audio Feedback

Effective monitoring and support of cleaning activities is one of the significant challenges in maintaining a clean and healthy environment for infection prevention. Therefore, in this study, we focus on cleaning activities to propose a real-time activity support system. Users' activities are recognized with a machine learning technology based on accelerometer data acquired with mop-mounted sensors. We developed a real-time support system where a robot provides audio feedback for motivating the user. It was confirmed that the proposed system will contribute for maintaining clean environment by encouraging users to establish a lifestyle in the new normal era.