Implementing an intelligent video monitoring system to detect falls of older adults at home: a multiple case study

Lapierre, Nolwenn; St-Arnaud, Alain; Meunier, Jean; Rousseau, Jacqueline

doi:10.1108/jet-03-2020-0012

Cited by 8 publications

(4 citation statements)

References 29 publications

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“…In this sense, using camera technology in the AAL context is also an issue of face keeping [21,22], privacy protection [12] and protection motivation [31]. While, to our best knowledge, perceptions of nudity in the context of AAL have not yet been studied extensively, acceptance, privacy perceptions, and user preferences regarding camera-based AAL technologies have been studied widely in various ways (e.g., [11,23,36]). These works might give hints about what potential users of AAL may think about nudity within this context.…”

Section: Social Perspective On Nuditymentioning

confidence: 99%

Underneath Your Clothes: A Social and Technological Perspective on Nudity in The Context of AAL Technology

Maidhof

Kooshan

Heek

et al. 2022

Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments

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One promising way to tackle healthcare challenges due to demographic change lies in the development of user-tailored AAL technologies. Video-based AAL technologies have the potential to provide rich information -in particular about accidents such as falls. However, as visual AAL is designed to record some parts of daily life at home, privacy concerns may comprise recordings in unwanted appearances and especially while being nude. Here, collaborative research is necessary to enable the development of user-tailored (visual) AAL technologies taking into account future users' needs and concerns. This article presents an interdisciplinary collaboration investigating perceptions of nudity from a social perspective, and developing solutions on nudity detection from a technical perspective. Focusing on first empirical insights and a proposed methodology for level-based nudity detection, this article concludes with interdisciplinary learnings, derived guidelines, and implications for future collaborative research. CCS CONCEPTS• Human-centered computing → Visualization systems and tools; • Security and privacy → Domain-specific security and privacy architectures.

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Section: Social Perspective On Nuditymentioning

confidence: 99%

Underneath Your Clothes: A Social and Technological Perspective on Nudity in The Context of AAL Technology

Maidhof

Kooshan

Heek

et al. 2022

Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments

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“…Mixed methods (qualitative interviews and quantitative questionnaires before the implementation, at the midpoint, and at the end); 4 older adults (aged≥65 years) and 4 informal caregivers Canada Lapierre et al [44] 96% of the participants were favorable or partially favorable to the IVS. About half (48%) said that they would use it.…”

Section: Main Findings Technology and Setting Design And Participants...mentioning

confidence: 99%

“…The privacy-by-design paradigm in technology allows data protection through inherent technology design [56]. Six of the 22 selected studies used different kinds of privacy-by-design techniques for privacy preservation [34,35,37,[43][44][45]. These techniques allow automatic processing of images so that the obtained visual information is filtered to guarantee privacy, such as customized blurred or silhouette images.…”

Section: Type Of Obtained Informationmentioning

confidence: 99%

Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review

Mujirishvili¹,

Maidhof²,

Flórez-Revuelta³

et al. 2023

J Med Internet Res

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Background The aging society posits new socioeconomic challenges to which a potential solution is active and assisted living (AAL) technologies. Visual-based sensing systems are technologically among the most advantageous forms of AAL technologies in providing health and social care; however, they come at the risk of violating rights to privacy. With the immersion of video-based technologies, privacy-preserving smart solutions are being developed; however, the user acceptance research about these developments is not yet being systematized. Objective With this scoping review, we aimed to gain an overview of existing studies examining the viewpoints of older adults and/or their caregivers on technology acceptance and privacy perceptions, specifically toward video-based AAL technology. Methods A total of 22 studies were identified with a primary focus on user acceptance and privacy attitudes during a literature search of major databases. Methodological quality assessment and thematic analysis of the selected studies were executed and principal findings are summarized. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines were followed at every step of this scoping review. Results Acceptance attitudes toward video-based AAL technologies are rather conditional, and are summarized into five main themes seen from the two end-user perspectives: caregiver and care receiver. With privacy being a major barrier to video-based AAL technologies, security and medical safety were identified as the major benefits across the studies. Conclusions This review reveals a very low methodological quality of the empirical studies assessing user acceptance of video-based AAL technologies. We propose that more specific and more end user– and real life–targeting research is needed to assess the acceptance of proposed solutions.

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“…It is important to emphasize here that the current work has a limited scope, as mentioned previously. A practical implementation of abnormal behavior detection systems also involves exploring many other aspects, including a consideration of the person-environment interaction, such as those reported in [4,23] for a fall detection system. Once implemented, such a system can take a video file or a webcam video stream as input, detect the abnormal behaviors as trained, and generate multiple types of alerts.…”

Section: Introductionmentioning

confidence: 99%

LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection

Mehmood

2021

Sensors

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The continuous development of intelligent video surveillance systems has increased the demand for enhanced vision-based methods of automated detection of anomalies within various behaviors found in video scenes. Several methods have appeared in the literature that detect different anomalies by using the details of motion features associated with different actions. To enable the efficient detection of anomalies, alongside characterizing the specificities involved in features related to each behavior, the model complexity leading to computational expense must be reduced. This paper provides a lightweight framework (LightAnomalyNet) comprising a convolutional neural network (CNN) that is trained using input frames obtained by a computationally cost-effective method. The proposed framework effectively represents and differentiates between normal and abnormal events. In particular, this work defines human falls, some kinds of suspicious behavior, and violent acts as abnormal activities, and discriminates them from other (normal) activities in surveillance videos. Experiments on public datasets show that LightAnomalyNet yields better performance comparative to the existing methods in terms of classification accuracy and input frames generation.

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Implementing an intelligent video monitoring system to detect falls of older adults at home: a multiple case study

Cited by 8 publications

References 29 publications

Underneath Your Clothes: A Social and Technological Perspective on Nudity in The Context of AAL Technology

Underneath Your Clothes: A Social and Technological Perspective on Nudity in The Context of AAL Technology

Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review

LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection

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