Rehabilitation is carried out through virtual reality and serious games. Currently, in this system, we use Microsoft Kinect v2 and Leap Motion sensors. Thanks to the modular development of the system, we can add new rehabilitation devices such as Oculus Rift, as well as create new games depending on the pathology to be treated. Patients access to the system through a local application and not using keyboard or mouse devices, using a natural user interface based on their movements. Rehabilitation sessions consist on serious games where the patient performs the exercises of his session programmed by a therapist.
There are different types of user with different access levels: administrator, therapist, familiar and patient. The different types of user interact with their respective modules. This work presents a screening and evaluation platform for depression and suicidality that has been tested in the scope of primary healthcare.
The main objective is to improve the efficiency and effectiveness of screening processes. A web-based, decision support platform was provided for qualified healthcare professionals. The platform provides several assessment tools for patient evaluation and monitoring of their treatment, along with follow up appointment management. This revealed there was general satisfaction with its integrated functions and all the provided methods of assessment. In conclusion, the project sustains the goal of improving the treatment outcomes for clinical depression by refining the screening methods and consequently increase the screening effectiveness and efficiency.
In a society increasingly attentive to the problems faced by seniors it is essential to promote their independence and autonomy. Providing these citizens with adequate information to support daily decision making processes and to be alert about situations of disadvantage and inequality is a concern of several entities seeking to promote elderly empowerment. A number of gerontechnologies aimed to "add quality years to life" have appeared to stimulate healthy, active and independent life.
This paper aims to assess the public and social services Portuguese seniors feel most in need to access information about. Findings of this exploratory study showed that the information needs of elderly are organized in the following macro-areas: health care and welfare services; social services; financial services; culture, informal; education and entertainment; security services; local authority services; and transport services.
Family caregivers take on a responsible task when caring for people with dementia showing the phenomenon of wandering.
Area 1 - Ambient Assisted Living
So far, there are no empirical studies in the German-speaking area that illustrate the attitude and acceptance of family caregivers on this subject. As a result, family caregivers endorse the use of technical devices to ensure safe areas of movement for people with dementia in cases where the benefit is recognizable and the handling is uncomplicated.
Ethical questions are a major challenge for family caregivers as they have to make decisions for people with dementia that conflicts with autonomy and safety. Population aging represents a major challenge as the proportion of people aged over 65 years worldwide is expected to reach 2 billion by This has profound implications for the planning and delivery of health and social care.
The knowledge we want to disseminate come from a systematic review on e-health interventions for healthy aging HA. This project arises from a research collaboration putting together complementary expertise in information and communication technology and aging. The overarching goal of this project is to ensure rapid translation of scientific evidence on effective e-health interventions promoting HA in order to accelerate their implementation for the benefit of older adults and their caregivers. Various knowledge translation strategies will be developed and implemented with knowledge users.
This paper introduces an algorithm that generates indoor navigation instructions for Blind and Visually Impaired BVI users as well as a validation framework that validates these instructions. The validation framework which utilizes Unity game engine incorporates: a a virtual environment that mirrors the physical environment and b a game avatar that traverses this virtual environment following action code sequences which correspond to the navigation instructions. A navigation instruction from a source to a destination is correct if the game avatar successfully reaches from the source to the destination in the virtual environment following this navigation instruction.
We successfully tested the navigation instruction generation algorithm and the validation framework in a large two-story building with 66 landmarks and navigation instructions. To the best of our knowledge this is the first automated generation instructions algorithm for BVI users in indoor environments, and the first validation framework for navigation instructions in indoor environments. This paper is a significant step towards the development of a cost effective indoor wayfinding solution for BVI users.
This paper presents a scalable and user-friendly pre-trip training system for seniors and people with disabilities using panoramic videos. The proposed system allows travel trainers to annotate the videos according to the user disability and requirements. Such annotations will be displayed to the users during the training process. After training with the system, seniors and people with disabilities will be more likely to choose fixed route services while traveling in complex subway systems and indoor transportation hubs.
Therefore, the use of the proposed platform will result in significant savings of paratransit services. Our work focuses on user experience and its impact on user interface design of web-based applications for elderly people. The paper presents the set of aging-centered user interface design guidelines. An initial collection of guidelines was first developed through an extensive review of the human-computer interaction and aging-oriented literature and through applying a series of classification methods.
Then the Authors proposed an assessment framework, which could be used as an universal tool to evaluate the web-based system according the user interfaces dedicated for elderly people. The detailed guidelines were grouped into 7 categories which were granted with appropriate importance weights.
In the next section ActGo-Gate platform was presented as a web-based application dedicated for activating and supporting elderly people. Finally, the user interface of the system was evaluated according the proposed criteria. Vasconcelos, Elsa F. Vieira and Ana Correia de Barros. Nowadays, following a healthy diet is a challenge, either due to the large variety of food and ingredient combination possibilities or due to the lack of knowledge required to make healthy choices.
This problem is even more patent amongst older adults. In this work, a mobile meal recommender system, SousChef, for this target group is presented. This system is capable of creating a personalized meal plan based on the information provided by the user, including the anthropometric measures, personal preferences and activity level. The nutritional recommendations and the application was thought and designed for older adults, presenting friendly user interfaces and following the guidelines of a nutritionist. Tests with users were conducted in order to ascertain recipe and nutritional plan suitability as well as usability of the mobile application.
Depression is important issue with aging of global population. Previously we have proposed a method to evaluate the mental health status of a person by his or her voice and developed a smartphone-based system to monitor mental health from voice during a call. Although the system has excellent continuous monitoring capability, it has not enough specificity for screening.
Therefore, in this study we propose an evaluation indicator to assess depression status in the elderly, based on multivariate analysis using the emotional components of the voice data collected in the aforementioned system and the BDI score. The voice emotion data on subjects was divided into two groups according to BDI score, one where doctor's diagnosis was deemed necessary and the other not so. A significant difference between the two groups was observed in t-test when the mean of the evaluation indicator estimated using data of each group and applying logistic regression prediction equation was compared.
Technological convergence - Wikipedia
Moreover, a performance corresponding to AUC of approximately 0. The results suggest that a new method to evaluate depression using voice has likely been developed. Kofler, Stefan H. It highlights the factors supporting and hindering the development and the implementation of the ActiveAdvice platform — as an integrated communication tool targeted at bridging the gaps between AAL stakeholders by facilitating cooperation and information exchange — regarding user requirements, preferences, acceptances and expectations.
For this, a qualitative study was carried out, taking into account not only the older adults as primary end-users but the whole AAL stakeholder ecosystem.
The results show that even though different stakeholders can have conflicting needs, e. Furthermore, all three included stakeholder groups agree on the importance of raising awareness of AAL solutions, technologies and products. In including not only consumers but other secondary and tertiary stakeholders as well, ActiveAdvice has the chance to reach a broader audience and thus raise public awareness of AAL.
The paper presents results from the SmartSleep project which aims at developing a smartphone app that gives users individual advice on how to change their behaviour to improve their sleep. The advice is generated by identifying correlations between behaviour during the day and sleep architecture.
Publications by the Signal Processing Group
The focus of the paper is on the second task. Various sensor devices from the consumer market were used in addition to the usual PSG sensors in a sleep lab. An expert assigned a sleep stage for every 30 seconds. Subsequently, a sleep stage classifier was learned from the resulting sensor data streams segmented into labelled sleep stages of 30 seconds each.
Apart from handcrafted features we also experimented with unsupervised feature learning based on the deep learning paradigm. The classification results for N1 turned out to be much worse, N1 being mostly confused with N2. Injuries caused by falls has become significant social problem in aging society. Falls could cause fractures which is significant cause of morbidity and mortality.
As a result, active protecting devices are being developed to protect body from severe injuries. In this study, simulation test method of falls situation is established and the wearable airbag system for protecting from falls is designed through simulation. Ergonomic design is considered in this wearable airbag system to reduce injury level effectively. It will be possible to establish the reliability of the development of the fall prevention system for the elderly and to be the basis for the future development.
Truls Gjestland and Femke B. Conference Proceedings. Youssef Chahibi, Ian F. Larsen Towards a real-time measurement platform for microgrids in isolated communities Procedia Engineering.
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Gunnar Taraldsen, Femke B. Tron Vedul Tronstad and Femke B. Luis M. Nolan, Mark Y. Kelly, Moshe T. Andrew Perkis, R. Proceedings, Part I. Proceedings, Part II. Designing and Developing Virtual and Augmented Environments. Gareth W. Henrique Saraiva, Luis M. Borges, Fernando J. Raul Chavez-Santiago, Keith E. Ferro, Norberto Barroca, Luis M. Ali Khaleghi, M. Anna N. Hieu T. Image Processing, Jari Korhonen, Andrew Perkis and Ulrich Reiter Congestion control in wireless links based on selective delivery of erroneous packets Signal processing.
Image communication. Fitri N. Digest of Technical Papers. Petter Christie, Fitri N. Kimmo Kansanen, Anna N.
Andrew Perkis, Fitri N. Seong-eun Yoo, P. K Chong, D.
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