To develop a smart system that detects the time from the point when the sleeper gets in bed until the subject falls asleep, and includes the time spent on activities like watching TV, reading, playing with the phone, etc. This is based on the development of an algorithmic approach for sound sleep analysis.
CLIENT BENEFITS :
Intelligent sleeping system design that supports sleep analytics for a premium range of products
OBJECTIVES :
End-Client is a supplier of intelligent beds. The project is to design an IOT-based sleep analysis framework.
PRODUCT FEATURES DEVELOPED BY ACCLIVIS :
The algorithm is developed using tools likeb MATLAB. Python, Jenkins, Github, etc.
The algorithm will evolve to understand the sleep pattern of the user.
The advanced features will also include foot warming & snoring control which will help to improve the sleeping pattern of the user. Future enhancement will include user identification & load control via weight measurement.
