Improving Performance of Bluetooth Low Energy-Based Localization System Using Proximity Sensors and Far-Infrared Thermal Sensor Arrays.

This paper presents the concept of a hybrid positioning scheme using results from a Bluetooth Low Energy (BLE)-based system and additional infrared (IR) devices: proximity sensors and far-infrared thermal sensor arrays. In the proposed solution, the IR sensors operate independently from the BLE subsystem. Their output (the distance to the localized person and the angle between the sensor axis and the person's location) is periodically used to improve the positioning accuracy.

CAREUP: An Integrated Care Platform with Intrinsic Capacity Monitoring and Prediction Capabilities.

This paper describes CAREUP, a novel older adult healthy aging support platform based on Intrinsic Capacity (IC) monitoring. Besides standard functionalities like storing health measurement data or providing users with personalized recommendations, the platform includes novel intrinsic capacity assessment and prediction algorithms. Older adults' performance is continuously monitored in all five IC domains-locomotion, psychology, cognition, vitality, and sensory capacity-based on measurement results and answers to questionnaires gathered using the platform's mobile applications.

Wrist-to-Tibia/Shoe Inertial Measurement Results Translation Using Neural Networks.

Most of the established gait evaluation methods use inertial sensors mounted in the lower limb area (tibias, ankles, shoes). Such sensor placement gives good results in laboratory conditions but is hard to apply in everyday scenarios due to the sensors' fragility and the user's comfort. The paper presents an algorithm that enables translation of the inertial signal measurements (acceleration and angular velocity) registered with a wrist-worn sensor to signals, which would be obtained if the sensor was worn on a tibia or a shoe.