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Last October, elderly people visited the Technical University of Madrid (UPM) Laboratory, for ICT4Life project research purposes. Several Parkinson’s Disease (PD) patients and one of their carers contributed to test ICT4Life technological devices.
The methodology of the tests carried out consisted of non-invasive interactions with sensors and cameras. Participants were previously noticed of the ICT4Life activities to be sensed and about the risks and benefits of their participation. After they offered their consent, ICT4Life partners proceeded to record the collection of data derived from their synergy with the different user interfaces of the project. Subsequently, the volunteers were monitored while performing daily activities within a controlled space in UPM.
One of the most relevant objectives of ICT4Life is the implementation of an interactive platform that optimizes secure information exchange among the stakeholders involved in health and social care services. The platform should include very simple and intuitive interfaces with different types of devices (TV, Mobile devices, Web) as well as facilitate the human-machine interaction (touch screen, voice, gestures).
To be aligned with this goal, elder people assessed diverse ICT4Life interfaces in order to retrieve valuable feedback on Quality of Experience, Quality of Service, social acceptance of the system and User eXperience (UX) interviews. Subjective tests as well as face-to-face interviews allowed ICT4Life consortium to obtain a more clear view of their needs and wishes in terms of usability, comfort and usefulness of TV, Mobile and tablet interfaces, among other research goals.
There are many efforts at European level to improve the ability to monitor health and to prevent, detect, treat and manage disease so that active and healthy ageing can be promoted. In this project, breakthrough research and radical innovation on new services for integrated care is achieved by means of an efficient and cost-effective service-oriented ICT-based platform which exploits latest advances in sensorization, processing, communications and personalized HMI.
Therefore, ICT4Life is dedicating a large amount of effort in order to develop a solution for individuals with early stage cognitive impairment living alone that will permit doctors and caregivers to extract useful information about patients (for taking the best medical or social actions), while contributing in a user friendly way to extending their independence.
This goal will be reached by detecting abnormal events that can be notified to stakeholders to make the proper decisions. In this sense, relevant information on patients’ behavior has been gathered in this session. ICT4Life technological solution is based on the combination of multiple information sources to detect critical events in PD and Alzheimer patients. The information collected will serve as training data for most novel machine learning and deep learning algorithms that will detect these events accurately.
This visit has been the first one of an iterative set of interactions that will give as a result the construction of the most end-users customized platform. Upcoming visits will be held at UPM living lab, which is a more realistic environment where patient’s feedback will be very useful for continuous improvement of ICT4Life technological solutions.