6533b81ffe1ef96bd1279017
RESEARCH PRODUCT
A multi-sensor multi-rate algorithm for motor rehabilitation with Augmented Reality devices
Marco MassaroFilippo D'ippolitosubject
Engineering020205 medical informaticsbusiness.industryMechanical Engineeringmedia_common.quotation_subject020208 electrical & electronic engineeringWork (physics)Biomedical EngineeringGyroscope02 engineering and technologyKalman filterVirtual realityTracking (particle physics)Object (computer science)law.inventionSettore ING-INF/04 - AutomaticaArtificial Intelligencelaw0202 electrical engineering electronic engineering information engineeringQuality (business)Augmented realitybusinessSimulationmedia_commondescription
Using Augmented Reality (AR) could offer stimuli to rehabilitation from neuro-motor disorders, since the patient can be aided in a better known reality than Virtual Reality (VR). The main goal for an AR system is to achieve a good quality of tracking the real object to align with virtual contents. Often a single sensor could not provide enough information to that end due to a low updating rate; therefore joining an other high updating rate sensor could be indispensable, but how to combine data from different sensors especially when they work all at different rates? In this paper an approach based on recursive parameter estimation, focusing on multi-rate tracking in AR devices is suggested. The system of this study has a multi-sensor configuration provided by a webcam and a 3-Axis MEMS inertial sensor, both working at different sample rates. Also an augmented reality application, designed for the neuro-motor rehabilitation of the upper limb, has been developed and shown.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-06-01 | 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) |