Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Wrist-worn sensors have better compliance for activity monitoring compared to hip, waist,
ankle or chest positions. However, wrist-worn activity monitoring is challenging due to the …

Sensor-based human activity recognition (HAR) has received considerable attention due to
its wide applications in health care. Each sensor modality has its advantages and limitations …

With sensor-based wearable technologies, high precision monitoring and recognition of
human physical activities in real time is becoming more critical to support the daily living …

The aim of this study was to develop a physical activity advisory system supporting the
correct implementation of sport exercises using inertial sensors and machine learning …

Ataxic gait monitoring and assessment of neurological disorders belong to important
multidisciplinary areas that are supported by digital signal processing methods and machine …

Bicycles are an ecofriendly mode of transportation, and cycling offers physical and mental
well-being. However, their increased use has resulted in frequent bicycle–human accidents …

Abstract Calibrating Human Activity Recognition (HAR) models to end-users with Transfer
Learning (TL) often yields significant accuracy improvements. Such TL is by design done …

The various activities of human movements have been discussed for several years, such as
sports activities, daily life activities, and so on. Their detection and classification have given …

Wrist-worn smart devices are providing increased insights into human health, behaviour and
performance through sophisticated analytics. However, battery life, device cost and sensor …