scholarly journals Human Activity Classification Using Multilayer Perceptron

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6207
Author(s):  
Ojan Majidzadeh Gorjani ◽  
Radek Byrtus ◽  
Jakub Dohnal ◽  
Petr Bilik ◽  
Jiri Koziorek ◽  
...  
Keyword(s):  
Multilayer Perceptron ◽  
Smart Home ◽  
Smart Homes ◽  
Fall Detection ◽  
Well Being ◽  
Average Accuracy ◽  
Occupancy Monitoring ◽  
High Recognition Accuracy ◽  
Very High ◽  
Data Processing Methods

The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events. Besides comfort and convenience, the integration of smart home functionality with data processing methods can provide valuable information about the well-being of the smart home residence. This study is aimed at taking the data analysis within smart homes beyond occupancy monitoring and fall detection. This work uses a multilayer perceptron neural network to recognize multiple human activities from wrist- and ankle-worn devices. The developed models show very high recognition accuracy across all activity classes. The cross-validation results indicate accuracy levels above 98% across all models, and scoring evaluation methods only resulted in an average accuracy reduction of 10%.

Comprehensive Ontological Model for Senior Wellness Activity Recognition in Smart Homes

2020 ◽  
pp. 148-167
Author(s):  
Hajar Khallouki ◽  
Rachid Benlamri ◽  
Abdulsalalm Yassine
Keyword(s):  
Activity Recognition ◽  
Smart Home ◽  
Environmental Parameters ◽  
Smart Homes ◽  
Well Being ◽  
The Elderly ◽  
Patient Profile ◽  
Ontological Model ◽  
Watching Tv ◽  
Lying Down

There are several works in the field of smart homes for healthcare, with different types of sensors used to monitor medical, behavioral and environmental parameters for patients. In the context of smart home for the elderly, the use of sensors needs to be adapted to respect the privacy of elders and to work passively without the need for caregiver assistance. Most research in this area focused on activity recognition (e.g. eating, sleeping, watching TV, etc.) which may be defined as the identification of a sequence of actions (e.g. using microwave, lying down, etc.). In this chapter, we propose a comprehensive ontological model for well-being activity recognition in smart home. Our approach takes into account different aspects of the well-being context such as patient profile, object being used to perform the activity, the time of running the activity, its location, etc. In order to validate the proposed ontology and reason on it, we perform a set of queries and inference rules.

scholarly journals Technologies for an Aging Society: A Systematic Review of “Smart Home” Applications

2008 ◽  
Vol 17 (01) ◽  
pp. 33-40 ◽  
Author(s):  
B. K. Hensel ◽  
G. Demiris
Keyword(s):  
Social Sciences ◽  
Smart Home ◽  
Web Of Science ◽  
Smart Homes ◽  
Well Being ◽  
Web Pages ◽  
Aging Society ◽  
The Social ◽  
Health Related

Summary Objectives A “smart home” is a residence wired with technology features that monitor the well-being and activities of their residents to improve overall quality of life, increase independence and prevent emergencies. This type of informatics applications targeting older adults, people with disabilities or the general population is increasingly becoming the focus of research worldwide. The aim of this study was to provide a comprehensive review of health related smart home projects and discuss human factors and other challenges. MethodsTo cover not only the medical but also the social sciences and electronics literature, we conducted extensive searches across disciplines (e.g., Medline , Embase , CINAHL, PsycINFO, Electronics and Communications Abstracts, Web of Science etc.). In order to be inclusive of all new initiatives and efforts in this area given the innovativeness of the concept, we manually searched for relevant references in the retrieved articles as well as published books on smart homes and gerontechnology Results A total of 114 publications (including papers, abstracts and web pages) were identified and reviewed to identify the overarching projects. Twenty one smart home projects were identified (71% of the projects include technologies for functional monitoring, 67% for safety monitoring, 47% for physiological monitoring, 43% for cognitive support or sensory aids, 19% for monitoring security and 19% to increase social interaction). Evidence for their impact on clinical outcomes is lacking. Conclusions The field of smart homes is a growing informatics domain. Several challenges including not only technical but also ethical ones need to be addressed.

Positive Emotions

2009 ◽  
pp. 12-24 ◽  
Author(s):  
Michael A. Cohn ◽  
Barbara L. Fredrickson
Keyword(s):  
Positive Emotions ◽  
Well Being ◽  
Life Outcomes ◽  
Short Term ◽  
Future Success ◽  
Broaden And Build Theory ◽  
Mental And Physical Health ◽  
Very High ◽  
Future Growth

Positive emotions include pleasant or desirable situational responses, ranging from interest and contentment to love and joy, but are distinct from pleasurable sensation and undifferentiated positive affect. These emotions are markers of people's overall well-being or happiness, but they also enhance future growth and success. This has been demonstrated in work, school, relationships, mental and physical health, and longevity. The broaden-and-build theory of positive emotions suggests that all positive emotions lead to broadened repertoires of thoughts and actions and that broadening helps build resources that contribute to future success. Unlike negative emotions, which are adapted to provide a rapid response to a focal threat, positive emotions occur in safe or controllable situations and lead more diffusely to seeking new resources or consolidating gains. These resources outlast the temporary emotional state and contribute to later success and survival. This chapter discusses the nature of positive emotions both as evolutionary adaptations to build resources and as appraisals of a situation as desirable or rich in resources. We discuss the methodological challenges of evoking positive emotions for study both in the lab and in the field and issues in observing both short-term (“broaden”) and long-term (“build”) effects. We then review the evidence that positive emotions broaden perception, attention, motivation, reasoning, and social cognition and ways in which these may be linked to positive emotions' effects on important life outcomes. We also discuss and contextualize evidence that positive emotions may be detrimental at very high levels or in certain situations. We close by discussing ways in which positive emotions theory can be harnessed by both basic and applied positive psychology research.

The Proposal of Function in Smart Home for Handicapped Users

2012 ◽  
Vol 248 ◽  
pp. 486-490
Author(s):  
Peter Hamernik ◽  
Pavol Tanuska ◽  
Dusan Mudroncik
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Smart Home ◽  
Smart Homes

Nowadays are smart homes aimed at healthy users. Much less emphasis is placed on the handicapped users. The article is focused on classification of function in a smart home for users with Alzheimer’s disease associated with dementia.

scholarly journals The HTR Model for Well-Being in Educating Community

2021 ◽  
Author(s):  
Elena Falaschi
Keyword(s):  
Gifted And Talented ◽  
Well Being ◽  
Educational Effectiveness ◽  
Specific Training ◽  
Gifted And Talented Education ◽  
High Potentials ◽  
Methodological Approaches ◽  
Teaching Learning ◽  
Very High ◽  
Human Potentials

With the aim of enhancing human capital by bringing out talents, this paper offers a theoretical model for innovating teaching/learning methodological approaches. The Humor Talent Resilience (HTR) Model for Well-Being in Educating Community recognizes Humor as a pedagogical device that jointly feeds both Talent and Resilience. This nourishment triggers a dynamic process between Talent and Resilience of reciprocal and constant interdependence, while developing a mutual positive contamination in continuous evolution. This process is itself a “generator of Well-Being” but it will be able to fully convey its educational effectiveness only if it is supported by an Educating Community. While aknowledging the enhancement of all human potentials, including the high or very high potentials, the pedagogy of Well-Being must assume the educational responsibility of offering teaching/learning contexts that allow all students to reach their highest level of development. Three open reflections are presented: the concepts of justice and equity of educational policies and practices aimed at respecting and enhancing all human potentials; the virtual educating (or dis-educating) community; the need for specific training for teachers and more opportunities for international discussion in the field of gifted and talented education.

A video‐based human fall detection system for smart homes

2010 ◽  
Vol 33 (5) ◽  
pp. 681-690 ◽  
Author(s):  
Yie‐Tarng Chen ◽  
Yu‐Ching Lin ◽  
Wen‐Hsien Fang
Keyword(s):  
Detection System ◽  
Smart Homes ◽  
Fall Detection

Why We Ought to Accept the Repugnant Conclusion

Utilitas ◽  
2002 ◽  
Vol 14 (3) ◽  
pp. 339-359 ◽  
Author(s):  
Torbjorn Tannsjo
Keyword(s):  
Quality Of Life ◽  
Well Being ◽  
Derek Parfit ◽  
Worth Living ◽  
Repugnant Conclusion ◽  
High Quality ◽  
Hedonistic Utilitarianism ◽  
Sentient Beings ◽  
Very High

Derek Parfit has famously pointed out that ‘total’ utilitarian views, such as classical hedonistic utilitarianism, lead to the conclusion that, to each population of quite happy persons there corresponds a more extensive population with people living lives just worth living, which is (on the whole) better. In particular, for any possible population of at least ten billion people, all with a very high quality of life, there must be some much larger imaginable population whose existence, if other things are equal, would be better, even though its members have lives that are barely worth living. This world is better if the sum total of well-being is great enough, and it is great enough if only enough sentient beings inhabit it. This conclusion has been considered by Parfit and others to be ‘repugnant’.

scholarly journals Introduction to the Special Issue: Applications of Internet of Things

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 374 ◽  
Author(s):  
Chi-Hua Chen ◽  
Eyhab Al-Masri ◽  
Feng-Jang Hwang ◽  
Despo Ktoridou ◽  
Kuen-Rong Lo
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Data Science ◽  
Cooperative Spectrum Sensing ◽  
Smart Homes ◽  
Recognition System ◽  
Special Issue ◽  
Smart Transportation ◽  
User Classification ◽  
Novel Approach

This editorial introduces the special issue, entitled “Applications of Internet of Things”, of Symmetry. The topics covered in this issue fall under four main parts: (I) communication techniques and applications, (II) data science techniques and applications, (III) smart transportation, and (IV) smart homes. Four papers on sensing techniques and applications are included as follows: (1) “Reliability of improved cooperative communication over wireless sensor networks”, by Chen et al.; (2) “User classification in crowdsourcing-based cooperative spectrum sensing”, by Zhai and Wang; (3) “IoT’s tiny steps towards 5G: Telco’s perspective”, by Cero et al.; and (4) “An Internet of things area coverage analyzer (ITHACA) for complex topographical scenarios”, by Parada et al. One paper on data science techniques and applications is as follows: “Internet of things: a scientometric review”, by Ruiz-Rosero et al. Two papers on smart transportation are as follows: (1) “An Internet of things approach for extracting featured data using an AIS database: an application based on the viewpoint of connected ships”, by He et al.; and (2) “The development of key technologies in applications of vessels connected to the Internet”, by Tian et al. Two papers on smart home are as follows: (1) “A novel approach based on time cluster for activity recognition of daily living in smart homes”, by Liu et al.; and (2) “IoT-based image recognition system for smart home-delivered meal services”, by Tseng et al.

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