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Behaviour Monitoring and Interpretation: Facets of BMI Systems
Abstract
The body of this chapter is structured in the following way. An initial example is presented in Section 1. It makes clear what BMI is about from the point of view of an application example. Simultaneously, a framework is outlined that derives from this example. It will be shown how other application examples fit into this very same framework in the following sections. Each of those following examples introduces typical facets of BMI systems: spatial scales are relevant in that each object to be monitored is found at a specific spatial scale (Section 2); direct and indirect observations are to be distinguished since objects are either directly observed or indirectly by means of changes that occur in the environment (Section 3); monitoring processes either occur in reality or in virtual spaces or in mixed reality scenarios (Section 4); behaviours are either purposeful and active, or they reflect typical everyday behaviours (Section 5); it can be distinguished whether a monitoring system works by means of deploying local or allocentric techniques (Section 6); eventually, similar as each application is found at a specific spatial scale, temporal scales are to be distinguished considering both durations and the speed with which observed behaviours are carried out (Section 7). A discussion section closes this chapter with a couple of issues (Section 8): different purposes of BMI applications are identified; their relationships to related areas, namely Ambient Intelligence (AmI) and Smart Environments (SmE) is discussed; the importance of AI methods is pointed out; ethical issues are considered. Finally, an outlook on future work is presented (Section 9).
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