Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

With a widespread of various sensors embedded in mobile devices, the analysis of human
daily activities becomes more common and straightforward. This task now arises in a range …

Signal segmentation is a crucial stage in the activity recognition process; however, this has
been rarely and vaguely characterized so far. Windowing approaches are normally used for …

Recently, the demand for human activity recognition has become more and more urgent. It is
widely used in indoor positioning, medical monitoring, safe driving, etc. Existing activity …

Human activity recognition (HAR) is essential for understanding people's habits and
behaviors, providing an important data source for precise marketing and research in …

Activity recognition is an intrinsic component of many pervasive computing and ambient
intelligent solutions. This has been facilitated by an explosion of technological …

Background Inactive and unhealthy lifestyles are common among adolescent men. The
planned intervention examines the effectiveness of an interactive, gamified activation …

Human-computer interaction has been a more popular research field in recent years with the
escalating interest in wearable systems. In this context, evaluating the details of the physical …

Abstract Background Human activity Recognition (HAR) using smartphone sensors suffers
from two major problems: sensor orientation and placement. Sensor orientation and sensor …

The increase of urban traffic confronts individuals and transport authorities with new
challenges regarding traffic management, personal mobility, sustainability, or economic …