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Baranyi G, Dos Santos Melício BC, Gaál Z, Hajder L, Simonyi A, Sindely D, Skaf J, Dušek O, Nekvinda T, Lőrincz A. AI Technologies for Machine Supervision and Help in a Rehabilitation Scenario. MTI 2022; 6:48. [DOI: 10.3390/mti6070048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
We consider, evaluate, and develop methods for home rehabilitation scenarios. We show the required modules for this scenario. Due to the large number of modules, the framework falls into the category of Composite AI. Our work is based on collected videos with high-quality execution and samples of typical errors. They are augmented by sample dialogues about the exercise to be executed and the assumed errors. We study and discuss body pose estimation technology, dialogue systems of different kinds and the emerging constraints of verbal communication. We demonstrate that the optimization of the camera and the body pose allows high-precision recording and requires the following components: (1) optimization needs a 3D representation of the environment, (2) a navigation dialogue to guide the patient to the optimal pose, (3) semantic and instance maps are necessary for verbal instructions about the navigation. We put forth different communication methods, from video-based presentation to chit-chat-like dialogues through rule-based methods. We discuss the methods for different aspects of the challenges that can improve the performance of the individual components. Due to the emerging solutions, we claim that the range of applications will drastically grow in the very near future.
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Bickenbach J, Stucki G, van Ginneken E, Busse R. Editorial: Strengthening Rehabilitation in Europe. Health Policy 2022; 126:151. [PMID: 35227426 PMCID: PMC8880035 DOI: 10.1016/j.healthpol.2022.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Affiliation(s)
- J Bickenbach
- Center for Rehabilitation in Global Health Systems, Department of Health Sciences and Medicine, University of Lucerne, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland
| | - G Stucki
- Center for Rehabilitation in Global Health Systems, Department of Health Sciences and Medicine, University of Lucerne, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland
| | - E van Ginneken
- Department of Health Care Management, Berlin University of Technology, Berlin, Germany; European Observatory on Health Systems and Policies
| | - R Busse
- Department of Health Care Management, Berlin University of Technology, Berlin, Germany; European Observatory on Health Systems and Policies.
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