A Smartphone -Based Model for Human Activity Recognition
نویسندگان
چکیده
منابع مشابه
Human Activity Recognition using Smartphone
Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. The system uses a 3-dimentional smartphone accelerometer as the only sensor to collect time series signals, from which 31 features are generated in both time and frequency domain. Activities are classified using 4 di...
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Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researche...
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Activity recognition is one of the most important technology behind many applications such as medical research, human survey system and it is an active research topic in health care and smart homes. Smart phones are equipped with various built-in sensing platforms like accelerometer, gyroscope, GPS, compass sensor and barometer, we can design a system to capture the state of the user. Activity ...
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Human activity recognition is influential subject in different fields of human daily life especially in the mobile health. As the smartphone becomes an integrated part of human daily life which has the ability of complex computation, internet connection and also contains a large number of hardware sensors, encourage implementation of the human activity recognition system. Most of the works done...
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Smartphones are quickly becoming a ubiquitous part of life in the Western world. Their embedded sensors have the ability to record a significant amount of data about peoples’ movement. Many smartphone applications already use that data to estimate basic fitness statistics, such as daily step count. However, the simplistic metrics that these applications produce are a poor method of assessing a ...
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ژورنال
عنوان ژورنال: Ibn AL- Haitham Journal For Pure and Applied Science
سال: 2017
ISSN: 2521-3407,1609-4042
DOI: 10.30526/30.3.1628