His research activity is based on designing, developing and testing on real-problems, methods and algorithms, based on computational intelligence, with particular attention to limited processing time. In particular, he has developed novel methodology and technology in the fields of motion capture, unobtrusive tracking and sensors integration. He has also being working on developing robust, multi-scale, adaptive models for predictive regression and clustering to extract data features. More recently he has been applied this expertise to the design and realization of platforms for e-Health and e-Welfare, combining Exer-games, AI, service robots and IoT. He is co-author of more than 80 peer-reviewed journal papers, more than 100 conference reviewed papers (h-index=36) and he holds 16 international patents (h index = 37).