176 research outputs found
Activity Recognition and Prediction in Real Homes
In this paper, we present work in progress on activity recognition and
prediction in real homes using either binary sensor data or depth video data.
We present our field trial and set-up for collecting and storing the data, our
methods, and our current results. We compare the accuracy of predicting the
next binary sensor event using probabilistic methods and Long Short-Term Memory
(LSTM) networks, include the time information to improve prediction accuracy,
as well as predict both the next sensor event and its mean time of occurrence
using one LSTM model. We investigate transfer learning between apartments and
show that it is possible to pre-train the model with data from other apartments
and achieve good accuracy in a new apartment straight away. In addition, we
present preliminary results from activity recognition using low-resolution
depth video data from seven apartments, and classify four activities - no
movement, standing up, sitting down, and TV interaction - by using a relatively
simple processing method where we apply an Infinite Impulse Response (IIR)
filter to extract movements from the frames prior to feeding them to a
convolutional LSTM network for the classification.Comment: 12 pages, Symposium of the Norwegian AI Society NAIS 201
What Is Privacy? Perceptions of Older Adults in the South of Spain About the Concept of Privacy and in Terms of Video-Based AAL Technologies
Privacy is a very complex concept that concerns all areas of human activity. Even more so, it has acquired whole new importance and has become a hot-button topic in the era of ubiquitous computing. The emergence of Active and Assisted Living (AAL) technologies is offering the improvement of the quality of life and maintaining the independence of older adults in their preferred environment. Especially with the advancement of computer vision, video-based technological solutions are giving us promising results but bring along significant risks of privacy violation. With this qualitative study, we aim to explore older adults’ understanding of privacy as a construct and their privacy considerations for technology-based monitoring applications in eldercare, for video-based systems among them. Exploratory interview sessions were conducted with 12 older adults 66 and plus of age living in care homes and in private households. Findings indicate that the concept of privacy is indeed difficult to understand and define for older adults. However, the context of video monitoring elicits clear privacy concerns. The nudity aspect of privacy was proved to be the most important among the participants, yet, the attitudinal shift in the perception of nudity was observed in older adults living in care homes. Eight out of 12 interviewed older adults did not like the idea of having a camera-based assistive technology, however, some of their worries were alleviated after explaining to them the possible technology’s inherent privacy-preserving techniques.This work is funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 861091 for the visuAAL project
An Italian business case for an eHealth platform to provide remote monitoring and coaching services for elderly with mild cognitive impairment and mild dementia
The purpose of this study was to define a business case for an eHealth platform to provide remote monitoring and coaching services for elderly with mild cognitive impairment and mild dementia in the Italian context. 107 patients with mild cognitive impairment and mild dementia were divided into the intervention and control groups. The data was collected using standardized instruments Clinical Dementia Rating Scale (CDR) and EuroQoL-5D-5L, and tailor-made instruments, such as surveysto technology and healthcare providers, and semi-structured interviews to patients and healthcare professionals. The data that was not collected in the study, was obtained from the scientific literature. Benefit/cost ratio was calculated for three years. The study shows that a digital platform to provide remote monitoring and coaching services for elderly with mild cognitive impairment and mild dementia can be cost-effective from the first year, and can improve care without monetary loss for the healthcareprovider. The key benefits show that the deterioration of the illness is postponed, and that the satisfaction of the patients and the healthcare professionals increases. Therefore, such an eHealth platform can be a worthy investment in Italy, and could beconsidered for wider nation-wide adoption
Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment
Shopping carts, in general, should be suitable for carrying smart technology in the retail store environment. Also, a smart shopping cart can present verbal motivating stimuli to increase healthier food purchases. A conjoint experiment was used to test with a hypothetical purchasing task for young consumers (n=91) the potential of motivating stimulus on smart shopping carts to influence healthier purchases when buying frozen pizza. The results show a positive impact for all stimuli stemming from the smart shopping cart, three of which were health-based. This shows that stimuli revealing dynamic and personalized data through smart technology in a physical grocery retail setting have the potential to outperform traditional brand statements. Our conjoint experiment increased young consumers’ likelihood of choosing a healthier frozen pizza. This result demonstrates that verbal stimuli on smart shopping carts can function as motivating augmentals on young adult consumers’ healthier food p urchases and are in line with the market positioning and customer-service focus of many retailers and brands today, emphasizing a social marketing standing.publishedVersio
Smart Shopping Carts to Increase Healthier Food Purchase: A Conjoint Experiment
Shopping carts, in general, should be suitable for carrying smart technology in the retail store environment. Also, a smart shopping cart can present verbal motivating stimuli to increase healthier food purchases. A conjoint experiment was used to test with a hypothetical purchasing task for young consumers (n=91) the potential of motivating stimulus on smart shopping carts to influence healthier purchases when buying frozen pizza. The results show a positive impact for all stimuli stemming from the smart shopping cart, three of which were health-based. This shows that stimuli revealing dynamic and personalized data through smart technology in a physical grocery retail setting have the potential to outperform traditional brand statements. Our conjoint experiment increased young consumers’ likelihood of choosing a healthier frozen pizza. This result demonstrates that verbal stimuli on smart shopping carts can function as motivating augmentals on young adult consumers’ healthier food purchases and are in line with the market positioning and customerservice focus of many retailers and brands today, emphasizing a social marketing standing
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