Behavioral modulation by genetic changes garners a special attention nowadays as an effective means of revealing genetic function on the one hand and broadening the scope of in situ monitoring on the other hand. The cGMP-dependent protein kinase was treated to the western flower thrips, Frankliniella occidentalis. Automatic recognition techniques and computational methods were utilized to investigate behavioral changes across photo- and scoto-phases. Movement behaviors are objectively expressed according to parameter extraction and data structure visualization in different light phases. By comapring with the individuals without treatment, activities of treated thrips were changed including decrease in circadian rhythm. Usefulness of automatic monitoring of insect movement in different genetic strains is further discussed for providing useful information on monitoring and diagnosing natural and unntatural genetic disturbances.

Group movements of insects are bases for unravelling origin of social behavior of animals and are important in both theoretical (e.g., evolution) and practical (monitoriing) aspects. Automatic recognition and effective computational methods were developed for characterizing multi-individual interactions in laboratory conditions. Movements of Drosophila species in different genetic strains were continuously observed across days. Characteristic behaviors are objectively expressed based on parameter extraction and data structure visualization. Group activities, including aggregation, inter-individual interactions and arena positioning were objectively characterized in different photo- and scoto-phases according to machine-learning and spatio-termporal patterning techniques. Individual-group relationships are presented regarding how individual movements would contribute to formulating group activities. Usefulness of automatic monitoring of insect group movement is further discussed for a basis for genetic functioning in behavioral aspect.