“AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition” was accepted at the “2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)” conference under Biomedical Signal Processing and Sensor Informatics section. It was a poster session, and our partner FORTH included the See Far device so that the audience could submit questions, comments, and general input. Once again, the session…
The socio-economic analysis and the validation of the See Far solution include macroeconomic variables relevant to the EU context such as healthcare costs, welfare system costs, employment rate and competitiveness of the developed platform and gross domestic product (GDP). The analysis demonstrates how vision impairment can impact the direct cost to the health sector and the indirect costs of the loss of productivity in the…
Before you go, if you feel identified or have the interest to understand better See Far smart glasses solution please subscribe to our newsletter and stay tuned
