Scientific gains are in a very exciting time as we progress artificial intelligence and machine learning. AI systems are dynamic, and respond to the subject as they gain more data, which increases our database of knowledge. There are many aspects of human development that we still have limited knowledge of, and while we have insight on the amount of sleep of infants, there is much less knowledge of the quality. It has been shown that baby fatigue affects maternal sleep patterns and behavior. By gaining insight on these sleep patterns, we may find a way to modify them for maximum improvement of both infant and parental sleep behavior.
Knit health is using machine learning to better understand the sleep patterns of infants and gain insight on how these patterns may affect health and other issues. By integrating a deep learning system with a baby-cam, the company uses metrics to measure and detect sleep patterns. Some of these metrics include breathing, movement, and physical presence, all fueling the knowledge toward the quality of sleep. The camera detects the physical presence of the baby as well as motion and positional changes to provide the system with information to learn sleep patterns.
What is really interesting is that because the company is in the early stages of data collection, the data that it gains will grow with its costumers. Parents of infants will have the opportunity to use machine learning essentially in real time to gain insight on human behavior and development, all while potentially increasing quality of family life.
With their product in early beta, the company is seeking parents of young children to participate in beta testing. This is a great opportunity to gain insight on a product before it is released.
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