Info about the Project
Washing hands is one of the easiest yet most effective ways to prevent spreading illnesses and diseases. However, not adhering to thorough handwashing routines is a substantial problem worldwide. For example, in hospital operations lack of hygiene leads to healthcare associated infections. We present WristWash, a wrist-worn sensing platform that integrates an inertial measurement unit and a Hidden Markov Model-based analysis method that enables automated assessments of handwashing routines according to recommendations provided by the World Health Organization (WHO).
Faculty: Dr. Thomas Ploetz , Dr Thad Starner , and Dr. Gregory Abowd
Students: Hong Li, Tanvi Bhagwat, Bu Li, and Yifeng Cao
Washing hands is one of the easiest yet most effective ways to prevent spreading illnesses and diseases. However, not adhering to thorough handwashing routines is a substantial problem worldwide. For example, in hospital operations lack of hygiene leads to healthcare associated infections. We present WristWash, a wrist-worn sensing platform that integrates an inertial measurement unit and a Hidden Markov Model-based analysis method that enables automated assessments of handwashing routines according to recommendations provided by the World Health Organization (WHO).
Faculty:
Dr. Thomas Ploetz , Dr Thad Starner , and Dr. Gregory Abowd
Students:
Hong Li, Tanvi Bhagwat, Bu Li, and Yifeng Cao
