Human Activity Recognition Using Accelerometer and Gyroscope Sensors
نویسندگان
چکیده
منابع مشابه
Activity Recognition Using, Smartphone Based, Accelerometer Sensors
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 کاملSensor Positioning for Activity Recognition Using Multiple Accelerometer-Based Sensors
Physical activity has a positive impact on people’s well-being and it can decrease the occurrence of chronic disease. To date, there has been a substantial amount of research studies, which focus on activity recognition using accelerometer and gyroscope-based sensors. However, the sensor position and the sensor combination, which have the best recognition performance with minimum sensor number,...
متن کاملPhysical Human Activity Recognition Using Wearable Sensors
This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower body limbs (chest, right thigh and left ankle). Three main steps describe the activity recognition process: sensors' placement, data pre-proces...
متن کاملHuman Activity Recognition Using Smartphone Sensors
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 ...
متن کاملHuman Activity Recognition from Accelerometer Data Using a Wearable Device
Activity Recognition is an emerging field of research, born from the larger fields of ubiquitous computing, context-aware computing and multimedia. Recently, recognizing everyday life activities becomes one of the challenges for pervasive computing. In our work, we developed a novel wearable system easy to use and comfortable to bring. Our wearable system is based on a new set of 20 computation...
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ژورنال
عنوان ژورنال: International Journal of Engineering and Technology
سال: 2017
ISSN: 2319-8613,0975-4024
DOI: 10.21817/ijet/2017/v9i2/170902134