Microsoft research has developed a new technology that can use smart phone cameras in consumers’ hands for non-contact physiological measurement in fields such as telemedicine. Over the past decade, researchers have found that with AI algorithms, webcams and mobile cameras can become efficient health sensors. These methods involve measuring subtle changes in the human body over time, and by capturing these changes that the naked eye cannot detect, they can provide a lot of physiological information. < / P > < p > through cooperation with the University of Washington and octoml, the research team of Microsoft Research Institute has created an innovative video based optical cardiopulmonary vital sign measurement method. This method uses daily camera technology (such as webcam and mobile devices) and a new convolutional attention network (called mtts-can), which can be used for real-time cardiopulmonary measurement on mobile platform with high accuracy. < / P > < p > over time, physiological processes such as blood flow and breathing can subtly alter the appearance of the body. Smart phone cameras can pick up this reflected light, and the change in pixel intensity over time can be used to recover the potential sources of these changes (i.e., human pulse and breath). Using optical models based on knowledge of these physiological processes, a person’s video can be processed to determine their pulse rate, respiration, and even the oxygen concentration in their blood. < / P > < p > the technology can be used for fitness, health and clinical applications. For daily consumers, it can make home monitoring and fitness tracking more convenient. Your treadmill or smart home fitness device can continuously track your strength during your run, for example, without having to wear a device or synchronize data. In clinical cases, camera based measurement can enable cardiologists to analyze patients’ heart health status more objectively through video call. The most obvious application of camera based physiological sensors may be telemedicine. However, in most telemedicine scenarios, doctors are unable to obtain the objective measurement results of patients’ condition due to their inability to capture vital signs and other signals. This worries many patients because they are concerned about the quality of diagnosis and care that can be obtained without objective measurement. And this technology is expected to improve this situation. Global Tech