e-health research is currently focusing on analyzing human motion in a variety of domains focusing on frail and elderly people with the long term goal to automatically detect behavioral changes related to (or even preceding) changes in the medical condition of the subject being monitored in a continuous and unobtrusive manner.

• Accelerometer based gait analysis.
• Physical activity monitoring using wearable sensors. Quantification of energy expenditure and physical activity intensity.
• 3D camera based telemonitoring of elderly. Quantification of physical activity based on video images.
• Automated assessment of fall risk. Irregularity in the walking pattern increases fall risk. The establishment of well defined cut-off values for a few parameters fails to identify the fallers among the broad spectrum of gait disorders.
• Other classifiers, decision support systems and medical signal processing.