| Autor: |
Jakub Jirka, Ondrej Krejcar |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
DELTA |
| DOI: |
10.1109/delta.2011.51 |
| Popis: |
Human life is divided into day periods as a main periods which consist of a day and night phase. Most of humans need to sleep a eight hours in a minimum to have their body and all the body function ready in day phase of a day. The second very important thing (instead of 8 hour sleep) is a phase of sleep in which a human is wake up. Waking up of a human in deep sleep phase lead to a very “unhappy” morning and not so nice spend of day. We are trying to develop algorithms to detect mild sleep stages which are the most suitable to human wake up. Actually we use microphone input to record and process sound near the monitored user. All the knowledge is implemented to mobile phone (windows mobile based device) as an intelligent alarm application. Whole application is designed as multithread Real-Time application based on. NET Compact Framework platform in C# language. Filtration and detection algorithms used special Math library Math. NET to process a recorded sound signal. This paper consists of several chapters which describes design, implementation and testing phases of this mobile application development. Actual testing results shows that our developed application detect correctly more than 70 % of mild sleep stages of all tested persons. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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