An Environment for Rapid Derivatives Design and Experimentation

With an increasing amount of elderly people needing home care around the clock, care workers are not able to keep up with the demand of providing maximum support to those who require it [43]. As medical costs of home care increase the quality is care suffering as a result of staff shortages [43], a solution is desperately needed to make the valuable care time of these workers more efficient. This paper proposes a system that is able to make use of the deep learning resources currently available to produce a base system that could provide a solution to many of the problems that care homes and staff face today. Transfer learning was conducted on a deep convolutional neural network to recognize common household objects was proposed. This system showed promising results with an accuracy, sensitivity and specificity of 90.6%, 0.90977 and 0.99668 respectively. Real-time applications were also considered, with the system achieving a maximum speed of 19.6 FPS on an MSI GTX 1060 GPU with 4GB of VRAM allocated.

show abstract

In-House Deep Environmental Sentience for Smart Homecare Solutions Toward Ageing Society

Easom

Bouridane

Qiang

et al. 2020

2020 International Conference on Machine Learning and Cybernetics (ICMLC)

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An Environment for Rapid Derivatives Design and Experimentation

Cited by 1 publication

References 25 publications

In-House Deep Environmental Sentience for Smart Homecare Solutions Toward Ageing Society

In-House Deep Environmental Sentience for Smart Homecare Solutions Toward Ageing Society

Contact Info

Product

Resources

About