Registration and Analysis of Acceleration Data to Recognize Physical Activity.

The purpose of the article is to check whether the acceleration signals recorded by a smartphone help identify a user's physical activity type. The experiments were performed using the application installed in a smartphone, which was located on the hip of a subject. Acceleration signals were recorded for five types of physical activities (running, standing, going up the stairs, going down the stairs, and walking) for four users.

Gesture controlled human-computer interface for the disabled.

Background: The possibility of using a computer by a disabled person is one of the difficult problems of the human-computer interaction (HCI), while the professional activity (employment) is one of the most important factors affecting the quality of life, especially for disabled people. The aim of the project has been to propose a new HCI system that would allow for resuming employment for people who have lost the possibility of a standard computer operation.

Material And Methods: The basic requirement was to replace all functions of a standard mouse without the need of performing precise hand movements and using fingers.

Evaluation of discomfort glare in the 50+ elderly: experimental study.

Objectives: The aim of the study was to analyze discomfort glare sensation in subjects aged 50 years and more in comparison with younger subjects (i.e. younger than 35 years of age).