Daily Living Activity Recognition In-The-Wild: Modeling and Inferring Activity-Aware Human Contexts

Advancement in smart sensing and computing technologies has provided a dynamic opportunity to develop intelligent systems for human activity monitoring and thus assisted living. Consequently, many researchers have put their efforts into implementing sensor-based activity recognition systems. However, recognizing people’s natural behavior and physical activities with diverse contexts is still a challenging problem because human physical activities are often distracted by changes in their surroundings/environments. Therefore, in addition to physical activity recognition, it is also vital to model and infer the user’s context information to realize human-environment interactions in a better way. Therefore, this research paper proposes a new idea for activity recognition in-the-wild, which entails modeling and identifying detailed human contexts (such as human activities, behavioral environments, and phone states) using portable accelerometer sensors. The proposed scheme offers a detailed/fine-grained representation of natural human activities with contexts, which is crucial for modeling human-environment interactions in context-aware applications/systems effectively. The proposed idea is validated using a series of experiments, and it achieved an average balanced accuracy of 89.43%, which proves its effectiveness.

A Queueing-Based Model Performance Evaluation for Internet of People Supported by Fog Computing

Following the Internet of Things (IoT) and the Internet of Space (IoS), we are now approaching IoP (Internet of People), or the Internet of Individuals, with the integration of chips inside people that link to other chips and the Internet. Low latency is required in order to achieve great service quality in these ambient assisted living facilities. Failures, on the other hand, are not tolerated, and assessing the performance of such systems in a real-world setting is difficult. Analytical models may be used to examine these types of systems even in the early phases of design. The performance of aged care monitoring systems is evaluated using an M/M/c/K queuing network. The model enables resource capacity, communication, and service delays to be calibrated. The proposed model was shown to be capable of predicting the system’s MRT (mean response time) and calculating the quantity of resources required to satisfy certain user requirements. To analyze data from IoT solutions, the examined architecture incorporates cloud and fog resources. Different circumstances were analyzed as case studies, with four main characteristics taken into consideration. These case studies look into how cloud and fog resources differ. Simulations were also run to test various routing algorithms with the goal of improving performance metrics. As a result, our study can assist in the development of more sophisticated health monitoring systems without incurring additional costs.

Transferring Biophilic and Universal Design Theory to Practice With Learning From Green Buildings

The study aims to guide the assisted living facility (ALF) design, in which biophilic design, which is observed to have positive physiological, psychological, and sociological effects on humans, is observed, and the principle of universal design is accessible and designed for everyone. Since there is no place called a biophilic ALF, the study is supported by a nature-oriented design method called Green Building Rating Tools. Green building certificate systems are explored in terms of biophilic and universal design, and three of the certifications show credits linked to the theories researched. With these certificates, green building certified ALFs located in the same region are selected. With the methodology applied on the case studies of three ALFs that received these certificates, how and where biophilic and universal design patterns can be transferred from theory to practice has been examined. The study observed the extent of 14 biophilic design patterns in ALFs and tabulated how to find each pattern in these facilities according to the methods and places.

COVID-19 vaccination intentions amongst care-professionals in the field of intellectual disability: a scoping review

Background: A worldwide vaccination program is the chosen strategy against the COVID-19 pandemic. Vaccine hesitancy however, forms a threat because vaccine uptake is voluntary in most countries. Care-professionals of people with intellectual disabilities are exposed to greater risks than other healthcare workers due to the vulnerable group they attend to and the assisted-living facilities in which they often work. Little is still known of the reasons for vaccine hesitancy in this specific group in contrast to those of other healthcare workers. Objective: To provide insight in the intentions and attitudes on COVID-vaccination of healthcare workers, including those who care for people with intellectual disabilities, by means of a scoping review. Methods: The databases that were searched for papers are CINAHL, APA PsycArticles, APA PsycInfo, Web of Science, Semantic Scolar, Prospero, Outbreak Science, Cochrane and Scopus. The search was broadened to healthcare workers in general because only two papers were found on those caring for people with intellectual disabilities. A total of 26 papers were identified concerning the vaccine intentions of 43,199 healthcare workers worldwide. Data were gathered both quantitively and qualitatively. The papers were analysed for all themes regarding vaccine willingness and vaccine hesitancy.Results: The themes that came to light included: percentages of vaccine willingness, predictors of willingness differentiated by 11 sub-themes (mainly profession, age, gender and past vaccine behaviour), attitudes of willingness and hesitancy differentiated by 19 sub-themes (perceived COVID treat and protecting others for willingness, concerns on vaccine safety and efficacy for hesitancy), sources of vaccination information, contextual factors and changes in COVID-19 vaccine acceptance over time and finally, future strategies for interventions. Conclusions: There was overlap in the percentages of vaccination, predictors of vaccine willingness and the attitudes of vaccine willingness and hesitancy between healthcare workers and those caring for people with intellectual disabilities. Vaccine safety and efficacy are the most prominent concerns with regard to vaccine hesitancy. Therefore, future strategies for interventions should address vaccine safety and efficacy. Furthermore, interventions are recommended to be interactive in order to facilitate exchange. Discussion groups that are able to address specific concerns and personal experiences, show to be effective in addressing vaccine hesitancy. Accurate information can also be made more accessible to target groups by promoting videos on social media platforms. Hence, further research is necessary to specify more precisely the attitudes of healthcare workers caring for people with intellectual disabilities and in more countries worldwide.