Recognition of human activity is a key element for building intelligent and pervasive
environments. Inhabitants interact with several objects and devices while performing any …

In this paper, we propose a human daily activity recognition method that is used for Ambient
Assisted Living. The proposed system is able to learn a user's activities using the data from …

With the rapid development of the computer and sensor field, inertial sensor data have been
widely used in human activity recognition. At present, most relevant studies divide human …

Advancement in wireless sensor networks gave birth to applications that can provide friendly
and intelligent services based on the recognition of human activities. Although the …

Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for
everyday living. Recognition of ADLs is key element for building intelligent and pervasive …

Activity Recognition is an emerging field of research, born from the larger fields of ubiquitous
computing, context-aware computing and multimedia. Recently, recognizing everyday life …

The continuous progress in wearable sensing technologies has motivated the researchers
to develop novel models for human activity and behavior monitoring. As wearable sensors …

Sensor-based human activity recognition has become an important research field within
pervasive and ubiquitous computing. Techniques for recognizing atomic activities such as …

This paper presents a promising approach to enhance multi-sensor based activity
recognition in smart homes. The research is originated in the domain of Active and Assisted …

Recent years have seen rapid advancements in the human activity recognition field using
data from smart sensor devices. A wide variety of real-world applications can be found in …