This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …

The slime mould algorithm (SMA) is a logical swarm-based stochastic optimizer that is easy
to understand and has a strong optimization capability. However, the SMA is not suitable for …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Stochastic optimization has been found in many applications, especially for several local
optima problems, because of their ability to explore and exploit various zones of the feature …

In recent years, a variety of meta-heuristic nature-inspired algorithms have been proposed to
solve complex optimization problems. However, these algorithms suffer from the …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Using inertial measurement units mounted on foot is a feasible approach to improve the
positioning accuracy for the human motion capture system. This paper presents a …

Motion capture technology has been widely used in the sport analysis to improve their
performance and reduce the injury risk. Kayak, a popular outdoor sport, employs the …

Breast cancer is one of the most dangerous diseases for women's health, and it is imperative
to provide the necessary diagnostic assistance for it. The medical image processing …