An Efficient Probability Proto form Summary Technique for Finding Mental Health Condition
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2018 by IJETT Journal|
|Year of Publication : 2018|
|Authors : Boddepalli Sai Rajeswari, P. Mohana Roopa
Boddepalli Sai Rajeswari, P. Mohana Roopa "An Efficient Probability Proto form Summary Technique for Finding Mental Health Condition", International Journal of Engineering Trends and Technology (IJETT), V58(3),142-145 April 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Now a day’s to every person is give an importance to monitor our life style in every day or weekly or monthly. By performing monitoring process we can user sensors which record our walking habits and smart watches which along motion can measure heartbeat. After measuring those information can be taken into data format and used those data for finding changes in certain activity patterns may signal changes in person’s physical or mental health condition. Recognizing these changes ahead of time may help in preventing forthcoming health problems. A common way to understand and extract information from this data and make decisions based on them. Several studies to test the hypothesis that health problems lead to changes in sensor data pattern. In this paper showed that mental illness such as depression and dementia influences the patterns recorded by sensors monitoring in-home activity and the amount of time residents spend outside the apartments. By finding mental illness in this paper we are implement probability proto form summary technique. By implementing this technique we can find out mental ill ness of person.
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Mental Health, Periodic Sensor Data, Training data set, Quantitative.