MULTI-LABEL CLASSIFICATION FOR PHYSICAL ACTIVITY RECOGNITION FROM VARIOUS ACCELEROMETER SENSOR POSITIONS
نویسندگان
چکیده
منابع مشابه
Physical 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. Recognizing everyday life activities will be in the short future a fundamental application in pervasive computing. In our work, we developed a wearable system easy to use and comfortable to bring. We obtain very good classification accuracy for each...
متن کاملPhysical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method
Accurate and detailed measurement of an individual’s physical activity is a key requirement for helping researchers understand the relationship between physical activity and health. Accelerometers have become the method of choice for measuring physical activity due to their small size, low cost, convenience and their ability to provide objective information about physical activity. The challeng...
متن کاملActivity Recognition from Accelerometer Data
Activity recognition fits within the bigger framework of context awareness. In this paper, we report on our efforts to recognize user activity from accelerometer data. Activity recognition is formulated as a classification problem. Performance of base-level classifiers and meta-level classifiers is compared. Plurality Voting is found to perform consistently well across different settings.
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 activity classification using the GENEA wrist-worn accelerometer.
INTRODUCTION Most accelerometer-based activity monitors are worn on the waist or lower back for assessment of habitual physical activity. Output is in arbitrary counts that can be classified by activity intensity according to published thresholds. The purpose of this study was to develop methods to classify physical activities into walking, running, household, or sedentary activities based on r...
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ژورنال
عنوان ژورنال: Journal of Information and Communication Technology
سال: 2018
ISSN: 2180-3862,1675-414X
DOI: 10.32890/jict2018.17.2.3