Topic 2: Advanced Digital Healthcare, Digital Twin of People
Due to the impact of COVID-19, non-contact vital measurement technology to ensure social distance is important. Non-contact vital measurement technology is known to have low measurement accuracy and unstable readings due to external influences, such as brightness in the captured images, instead of low subject load.
Data and image-based health measurement technology  and human digital twin technology will be important with the new normal.
AI technology, smartphones and cloud computing are becoming more popular. This has created an environment for the advancement of digital health.
At Toshiba, Research and Development Center and Toshiba Digital Solutions provide disease prediction services for SOMPO Holdings. Toshiba is also using technology from an Israel start-up to measure health and stress levels using smartphone cameras, and early detection of dementia technology from Silicon Valley to expand its services to insurance companies in Japan.
Toshiba Group holds smart receipt purchase data, which can be used to build a more detailed digital twin of people. The digital twin of people is expected to enable new services such as content recommendations and optimization of social behavior. Synergies are also expected through collaboration with data obtained from the precision medicine business, such as micro RNA  analysis service.
Suggested Research Proposals
- Technology that measures a person’s health, mental state and behavior using low-burden methods such as images from a smartphone camera and records the results with high accuracy and high robustness using machine learning and other techniques.
- Digital technology to create new services which will sense information about people.
 Daniel McDuff, Christophe Hurter, and Mar Gonzalez-Franco. 2017. Pulse and vital sign measurement in mixed reality using a HoloLens. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (VRST '17). Association for Computing Machinery, New York, NY, USA, Article 34, 1–9.
 Fadel Adib, Hongzi Mao, Zachary Kabelac, Dina Katabi, and Robert C. Miller. 2015. Smart Homes that Monitor Breathing and Heart Rate. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). Association for Computing Machinery, New York, NY, USA, 837–846. http://people.csail.mit.edu/fadel/papers/vitalradio-paper.pdf
 Toshiba Research News : https://www.toshiba.co.jp/rdc/rd/detail_e/e1911_06.html
 Toshiba Clips: https://www.toshiba-clip.com/en/detail/p=641