The poster references the AAL projects involving the EvaLab team from HUG including H2HCare. Significant benefits for using the H2HCare platform have been highlighted: providing direct interaction with medical staff, offering support on taking health measures daily, improving the interactions with relatives, simple to use display for KOMP device, etc.
In June the first Longitudinal Field Trials (LFT) carried out in Switzerland in HUG premises finished.
The feedback gathered was included in deliverable D3.5 and will be used to improve the H2hCare prototype and release a new version by end of August.
The second LFT will take place in Norway in SN premisses starting from 1st of September. The evaluation will be done using the new and improved prototype and feedback will be included in a new iteration of deliverable D3.5.
On 28/06/2022 TUC participated to an open workshop held in Cyprus and organized by Materia Group. The workshop was focused on presenting ICT solutions from AAL projects that can help older adults with specific instruments and systems. Experts elaborated on the concerns and challenges these technologies face, and more specifically within the EU context.
In the context of H2HCare project, TUC published a new scientific article in Sensors journal, quartile Q2 in Web of Science:
Chifu VR, Pop CB, Rancea AM, Morar A, Cioara T, Antal M, Anghel I. Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns. Sensors. 2022; 22(13):4803. https://doi.org/10.3390/s22134803
Abstract: The monitoring of the daily life activities routine is beneficial, especially in old age. It can provide relevant information on the person’s health state and wellbeing and can help identify deviations that signal care deterioration or incidents that require intervention. Existing approaches consider the daily routine as a rather strict sequence of activities which is not usually the case. In this paper, we propose a solution to identify flexible daily routines of older adults considering variations related to the order of activities and activities timespan. It combines the Gap-BIDE algorithm with a collaborative clustering technique. The Gap-BIDE algorithm is used to identify the most common patterns of behavior considering the elements of variations in activities sequence and the period of the day (i.e., night, morning, afternoon, and evening) for increased pattern mining flexibility. K-means and Hierarchical Clustering Agglomerative algorithms are collaboratively used to address the time-related elements of variability in daily routine like activities timespan vectors. A prototype was developed to monitor and detect the daily living activities based on smartwatch data using a deep learning architecture and the InceptionTime model, for which the highest accuracy was obtained. The results obtained are showing that the proposed solution can successfully identify the routines considering the aspects of flexibility such as activity sequences, optional and compulsory activities, timespan, and start and end time. The best results were obtained for the collaborative clustering solution that considers flexibility aspects in routine identification, providing coverage of monitored data of 89.63%.
Prof. Tudor Cioara chaired an workshop about “Participation in European projects” with H2020 and AAL projects use cases on 24 May 2022, virtual environment. At the workshop more than 50 researchers from TUC participated for discussing the main challenges of coordinating/participating in an EU project. The results from different projects, including H2HCare, were presented. The main purpose of organizing the workshop was to facilitate collaboration in participating to EU projects and raising awareness about the results obtained.
The Technical University of Cluj-Napoca participated for the first time in the event Night of the Museums with a unique, original and diverse exhibition that delighted the audience from Cluj of all ages. TUC became for one evening, a space of innovation and technology, in which young people, children and parents, tested the exhibited equipment and unique applications and interacted with our university representatives present at the ExpoTech event on 14.05.2022.
At the event TUC has also published a live presentation of the H2HCare project showing the technical solutions developed in the project.
TUC team has published a new article in the Future Internet Open Acess Journal, Web of Science indexed.
The paper is titled “A Review of Blockchain Technology Applications in Ambient Assisted Living”. It contains a review of the research literature in the area of using blockchain technologies to solve Ambient Assisted Living systems’ data privacy and security issues.
The paper is available in the library section of the website:
Florea A-I, Anghel I, Cioara T. A Review of Blockchain Technology Applications in Ambient Assisted Living. Future Internet. 2022; 14(5):150