Unobtrusive recognition of working situations
In many countries, people are obliged to remain in their jobs for a long time. This results in an increased number of elderly people with certain disabilities in working life. Therefore, a support with technical assistance systems can avoid further health risks and help employees in their everyday life. An important step for offering a suitable assistance is the automatic recognition of working situations. In this paper we explore the unobtrusive data acquisition and classification of working situations above a tabletop surface. Therefore, a grid of capacitive sensors is deployed directly underneath the tabletop.