  With the outlook of improving communication and social abilities of people
with ASD, we propose to extend the paradigm of robot-based imitation games to
ASD teenagers. In this paper, we present an interaction scenario adapted to ASD
teenagers, propose a computational architecture using the latest machine
learning algorithm Openpose for human pose detection, and present the results
of our basic testing of the scenario with human caregivers. These results are
preliminary due to the number of session (1) and participants (4). They include
a technical assessment of the performance of Openpose, as well as a preliminary
user study to confirm our game scenario could elicit the expected response from
subjects.
