During the course of the project, we have:
1. developed an innovative framework that mapped privacy concerns to the "Johari window" technique to show how older adult privacy preferences relate to different categories of data about themselves. We pointed out that older adults have privacy concerns about data relating to themselves that even they do not want to be aware of (e.g. data about their health decline).
2. identified a number of “rules” to drive a proper interaction between the researcher and the user in the extraction of requirements for assistive robotic systems, which has been at the heart of several journal publications.
3. developed a model to predict the motion of human agents present in the environment.
4. developed localisation algorithms that fuse information from different sources (encoders, IMU, markers in the environment, SLAMMOT).
5. proposed several techniques for gait analysis, human body tracking, Slammot and emotion detection, which have brought significant innovation in their respective fields (as witnessed by the several papers).
6. used the the perception algorithms along with our robotic platform for the clinical application (one of the most important point of innovation of the project).
7. developed the CPSN and the Recommendation algorithms, which are one of the first examples of a social network that: 1. explicitly target the needs of the senior population, 2. Are interconnected with the user’s clinical profile and needs, 3. Account for the tastes and the requirement of the person emerged through physical observations.
8. developed an Activity Planner (WP5) that plans a sequence of actions to implement an activity. In the same context, we developed a Reactive Planner to compute an optimal motion plan for a robot moving in an environment crowded by humans.
9. developed several guidance solutions that attracted the attention of the robotic community, were extensively tested with users and put ACANTO’s team at the fore front of innovation on assistive robotics. In addition, a large effort has been allocated to the development of guidance and signalling devices based on haptic feedback.
10. produced algorithms and tools for probabilistic guarantees for soft real—time systems.
These innovations have brought to more than 70 scientific papers and 5 patent submissions (with two more in preparation). We produced a first evidence of the clinical benefits of using the FriWalk, in: 1. improving the condition of the patient, 2. reducing the effect of traumatic events and the probability of their re-occurrence, 2. contacted a large number of stakeholders and policy-makers who encouraged us in seeking concrete exploitation routes for the ACANTO technology.
