Fusion of Smartphone Motion Sensors for Physical Activity Recognition
نویسندگان
چکیده
منابع مشابه
Fusion of Smartphone Motion Sensors for Physical Activity Recognition
For physical activity recognition, smartphone sensors, such as an accelerometer and a gyroscope, are being utilized in many research studies. So far, particularly, the accelerometer has been extensively studied. In a few recent studies, a combination of a gyroscope, a magnetometer (in a supporting role) and an accelerometer (in a lead role) has been used with the aim to improve the recognition ...
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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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Página II (b) Ramo do Conhecimento: Data Mining I was born in Madeira in 1986 having lived there until 2004 when I moved to Porto to study economics and then Data Mining in the Faculty of Economics of Porto (FEP). In Madeira I took part of several groups connected to outdoor activities: member of the first paintball team in Madeira, member of MadeiraEcoChallenges: a group created to organize ec...
متن کاملActivity Recognition Using Fusion of Low-Cost Sensors on a Smartphone for Mobile Navigation Application
Low-cost inertial and motion sensors embedded on smartphones have provided a new platform for dynamic activity pattern inference. In this research, a comparison has been conducted on different sensor data, feature spaces and feature selection methods to increase the efficiency and reduce the computation cost of activity recognition on the smartphones. We evaluated a variety of feature spaces an...
متن کاملUser-Independent Motion State Recognition Using Smartphone Sensors
The recognition of locomotion activities (e.g., walking, running, still) is important for a wide range of applications like indoor positioning, navigation, location-based services, and health monitoring. Recently, there has been a growing interest in activity recognition using accelerometer data. However, when utilizing only acceleration-based features, it is difficult to differentiate varying ...
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ژورنال
عنوان ژورنال: Sensors
سال: 2014
ISSN: 1424-8220
DOI: 10.3390/s140610146