To monitor adherence to diets and to design and evaluate nutritional interventions, it is
essential to obtain objective knowledge about eating behavior. In most research, measures …

Non-invasive and privacy-preserving recognition of food intake activities has applications in
diet management, telecare, and smarthome data monetization. In this paper, we tackle the …

The Otago Exercise Program (OEP) represents a crucial rehabilitation initiative tailored for
older adults, aimed at enhancing balance and strength. Despite previous efforts utilizing …

Eating speed is an important indicator that has been widely investigated in nutritional
studies. The relationship between eating speed and several intake-related problems such …

Human activity recognition, which involves recognizing human activities from sensor data,
has drawn a lot of interest from researchers and practitioners as a result of the advent of …

Automotive radar is one of the key sensors for intelligent driving. Radar image sequences
contain abundant spatial and temporal information, enabling target classification. For …

Food intake monitoring plays an important role in personal dietary systems. Numerous
approaches have been proposed to automatically detect eating gestures using various …

Eating speed is an important indicator that has been widely scrutinized in nutritional studies.
The relationship between eating speed and several intake-related problems such as …

Automated food intake monitoring has drawn significant attention due to its potential
applications in the healthcare domain. Plenty of research, including wrist-worn imu-based …