Human Activity Monitoring Using Smartphone - Tokala, Sai Sujit
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The main aim was to develop an algorithm which will classify the activity performed by a human who is carrying a smart phone. The day to day life made humans very busy at work and during daily activities, mostly elderly people who are at home have an important need to monitor their activity by others when they are alone, if they are inactive for a long time without movement, or in some situations like if they have fallen down, became unconscious for sometime or seized with a cardiac arrest etc will help the observer to know the state of activity of person being monitored. In this project we…mehr

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Produktbeschreibung
The main aim was to develop an algorithm which will classify the activity performed by a human who is carrying a smart phone. The day to day life made humans very busy at work and during daily activities, mostly elderly people who are at home have an important need to monitor their activity by others when they are alone, if they are inactive for a long time without movement, or in some situations like if they have fallen down, became unconscious for sometime or seized with a cardiac arrest etc will help the observer to know the state of activity of person being monitored. In this project we develop an algorithm to know the activity of a person using accelerometer available in Smartphone.
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Autorenporträt
Sai Sujit Tokala is a post graduate in Electrical Engineering with specialization in Signal Processing, who is currently working on developing audio and statistical analysis algorithms.