Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

This paper surveys the current research directions of activity recognition using inertial
sensors, with potential application in healthcare, wellbeing and sports. The analysis of …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

The technology of sensor, pervasive computing, and intelligent information processing is
widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor …

This paper presents an accelerometer-based digital pen for handwritten digit and gesture
trajectory recognition applications. The digital pen consists of a triaxial accelerometer, a …

Fluid intake monitoring is an essential component in preventing dehydration and
overhydration, especially for the senior population. Numerous critical health problems are …

The market for smartphones, smartwatches, and wearable devices is booming. In recent
years, individuals and researchers have used these devices as additional tools to monitor …

Activity recognition plays an important role for pervasive healthcare such as health
monitoring, assisted living and pro-active services. Despite of the continuous and …

Low-cost inertial and motion sensors embedded on smartphones have provided a new
platform for dynamic activity pattern inference. In this research, a comparison has been …

In this paper, we propose a novel energy-efficient approach for mobile activity recognition
system (ARS) to detect human activities. The proposed energy-efficient ARS, using low …