Modern smartphones and wearables often contain multiple embedded sensors which
generate significant amounts of data. This information can be used for body monitoring …

Background Wearable sensors have the potential to provide clinicians with access to motor
performance of people with movement disorder as they undergo intervention. However …

Sensors embedded in smartphones are an essential component for activity recognition.
Even though the accelerometer is the most widely used sensor, the highest recognition …

Today sensors and wearable technologies are gaining popularity, with people increasingly
surrounded by “smart” objects. Machine learning is used with great success in wearable …

Human activity recognition algorithms have been increasingly sought due to their broad
application, in areas such as healthcare, safety and sports. Current works focusing on …

There are several areas of application of Machine Learning techniques. In Fraunhofer
Portugal Research Center for Assistive Information and Communication Solutions (FhP …

Human physical activity recognition using gyroscope and accelerometer sensors of
smartphones has attracted many researches in recent years. In this paper, the performance …

Embedding computational capability into quotidian objects is called ubiquitous computing
and is a big trend in software engineering. These objects become capable of tracking their …