Evaluation of Smartphone and Smartwatch Accelerometer Data in Activity Classification

Author:

Minh Nguyen Canh1,Dao To Hieu2,Tran Duc Nghia3,Huy Nguyen Quang3,Thu Nguyen Thi4,Tran Duc Tan5

Affiliation:

1. University of Transport and Communications,Faculty of Electrical-Electronic Engineering,Ha Noi,Viet Nam

2. University of Information and Communication,Thai Nguyen,Viet Nam

3. Institute of Information Technology, Vietnam Academy of Science and Technology,Ha Noi,Viet Nam

4. Hanoi University of Industry,Faculty of Electronic Engineering,Ha Noi,Viet Nam

5. Phenikaa University,Faculty of Electrical and Electronic Engineering,Ha Noi,Viet Nam

Publisher

IEEE

Reference24 articles.

1. The usage of statistical learning methods on wearable devices and a case study: activity recognition on smartwatches;serkan;Advances in statistical methodologies and their application to real problems,2017

2. Towards Detection of Bad Habits by Fusing Smartphone and Smartwatch Sensors;muhammad shoaib;In 2015 IEEE Int Conf Pervasive Comput Commun Work (PerCom Work,2015

3. Estimating intensity of physical activity: a comparison of wearable acceler- ometer and gyro sensors and 3 sensor locations;a;2007 Annual International Conf of the IEEE Engineering in Medicine and Biology Society,2007

4. WISDM smartphone and smartwatch activity and biometrics dataset;weiss;UCI Machine Learning Repository WISDM Smartphone and Smartwatch Activity and Biometrics Dataset DataSet,2019

5. Activity recognition using cell phone accelerometers

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