Wearable sensor selection, motion representation and their effect on exercise classification

N Hosein, S Ghiasi - 2016 IEEE First International Conference …, 2016 - ieeexplore.ieee.org
Motion classification using accelerometer, gyroscope and magnetometer sensors have been
an important area of exploration for the past decade. Mostly studied in the context of health …

Tutorial on wearable computing in sports

F Daiber, F Kosmalla - Proceedings of the 19th International Conference …, 2017 - dl.acm.org
Wearable sports technology such as fitness trackers, smart watches or heart rate sensors
has become ubiquitous in our everyday lives. This technology enables even recreational …

Machine learning in wearable biomedical systems

MEH Chowdhury, A Khandakar… - Sports Science and …, 2020 - books.google.com
Wearable technology has added a whole new dimension in the healthcare system by real-
time continuous monitoring of human body physiology. They are used in daily activities and …

A machine learning framework for automatic human activity classification from wearable sensors

E Mitchell - 2015 - doras.dcu.ie
Wearable sensors are becoming increasingly common and they permit the capture of
physiological data during exercise, recuperation and everyday activities. This work …

User-optimized activity recognition for exergaming

BJ Mortazavi, M Pourhomayoun, SI Lee… - Pervasive and mobile …, 2016 - Elsevier
This paper presents SoccAR, a wearable exergame with fine-grain activity recognition; the
exergame involves high-intensity movements as the basis for control. A multiple model …

[PDF][PDF] EMBEDDED SOFTWARE

JA Prathap - MACHINE LEARNING APPLICATIONS - ciir.in
Embedded software is a type of software that is included in hardware and other non-PC
devices. The device has limited memory and processing capability because to its low …

Hardware implementation of a decision tree classifier for object recognition applications

M Fularz, M Kraft - Measurement Automation Monitoring, 2015 - infona.pl
Hardware implementation of a widely used decision tree classifier is presented in this paper.
The classifier task is to perform image-based object classification. The performance …

Centralized class specific dictionary learning for wearable sensors based physical activity recognition

SM Mathews, C Kambhamettu… - 2017 51st Annual …, 2017 - ieeexplore.ieee.org
With recent progress in pervasive healthcare, physical activity recognition with wearable
body sensors has become an important and challenging area in both research and …

Methods for recognition and classification of human motion patterns–a prerequisite for intelligent devices assisting in sports activities

A Baca - IFAC Proceedings Volumes, 2012 - Elsevier
Sensor and computing technologies provide people with information on their performance
and load when doing sports. In order to automatically give advices on how to continue …

Detection of upper limb activities using multimode sensor fusion

Y Wang, X Xu, M Batalin… - 2011 Ieee Biomedical …, 2011 - ieeexplore.ieee.org
Human motion monitoring and activity classification, specifically in the free-living conditions,
are becoming increasingly important as preventative and rehabilitative measures in health …