Sleep Pattern Monitoring and Analysis to Improve the Health and Quality of Life of People

Good quality of sleep is very much important for keeping oneself fit mentally and physically. If sleep is disturbed it affects daytime functionality of a person and leads to several diseases like heart attack, stress, etc., In this work, we have collected data related to sleep patterns of people, analysed the data and provided suggestions to improve the sleep, health and lifestyle. We have used Miband to collect data, performed feature extraction and classification using logistic regression model. The proposed method resulted in encouraging accuracy and this web application can be developed into a mobile application in future.