Due to an increased popularity of assistive healthcare technologies activity recognition has
become one of the most widely studied problems in technology-driven assistive healthcare …

Recent years have witnessed the emergence of Smart Environments technology for
assisting people with their daily routines and for remote health monitoring. A lot of work has …

In this study, every day activities are recognized from data collected using smartphones
accelerometer sensors. Offline experiments are made to show that the presented method is …

Activity Recognition has gained a lot of interest in recent years due to its potential and
usefulness for context-aware wearable computing. However, most approaches for activity …

This paper presents details of a convenient and unobtrusive system for monitoring daily
activities. A smart phone equipped with an embedded 3D-accelerometer was worn on the …

This paper proposes an activity recognition method that models an end user's activities
without using any labeled/unlabeled acceleration sensor data obtained from the user. Our …

Smartwatches and smartphones contain accelerometers and gyroscopes that sense a user's
movements, and can help identify the activity a user is performing. Research into …

Activity recognition, which takes the sensor reading from mobile sensors as inputs and
predicts a human motion activity using data mining and machine learning techniques. In this …

In daily life, people carry smartphones every where. The sensors included in smartphones
can tell us much information. Activity recognition by smartphone can be used for healthcare …

In recent years research on human activity recognition using wearable sensors has enabled
to achieve impressive results on real-world data. However, the most successful activity …