Objective
The overall objective of HOLOBALANCE is to develop and validate a new personalized hologram coach platform for virtual coaching, motivation and empowerment of the ageing population with balance disorders. The coaching part will be realised by holograms and augmented reality games, along with easy to use sensors (smart bracelet, smart glasses, sensorized soles) that can be customized to implement and coach the user with specific, individualized exercises, offering new forms of accessible user interaction. HOLOBALANCE will engage the experts related to the management of people suffering from balance disorders, including physiotherapists, Ear Nose Throat experts (ENTs), neurologists, psychologists, gerontologists, towards developing a multi-stakeholder user centered coaching ecosystem. Suggestions for specific exercises and tasks and an activity plan will be provided by the experts in a daily basis, which will be then refined and updated through autonomous learning algorithms. Three different types of coaching will be provided by the HOLOBALANCE platform: (i) balance physiotherapy (BP), (ii) cognitive training (CT) combined with auditory tasks (iii) multilevel motivation and physical activity (PA) promotion. The platform will consist of a cloud based big data analytics component, with intelligent data mining algorithms, that will assess personalized heterogeneous data (motion capture sensor data, wearable sensor data, physiotherapy exercises movement data, clinical profiles), emotional and behavioural data (through emotional computing and behavioural modeling minimizing attention theft) and provide personalized advice, guidance and follow up for motivation, goal setting, BP, CT and PA. The accuracy in performance of the exercises will be measured objectively in real time, through a set of motion capture and wearable sensors. Experts will monitor the status through a visual analytics expert panel.
Field of science
- /natural sciences/computer and information sciences/data science/big data
- /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors
- /medical and health sciences/clinical medicine/physiotherapy
- /natural sciences/computer and information sciences/data science/data mining
Call for proposal
H2020-SC1-2017-CNECT-1
See other projects for this call
Funding Scheme
RIA - Research and Innovation actionCoordinator
45110 Ioannina
Greece
Participants (12)
WC1E 6BT London
79106 Freiburg
34000 Kragujevac
10561 Athina
10682 Athina
WC2R 2LS London
20148 Hamburg
WC1H 9NA London
6300 Zug
21000 Novi Sad
35131 Padova
7522 AH Enschede
