An Experimental Study on Culturally Competent Robot for Smart Home Environment

One of the critical situations facing the society across the globe is the problem of elderly homecare services (EHS) due to the aggravation of the society coupled with diseases and limited social resources. This problem has been typically dealt with by manual assistance from caregivers and/or family members. The emerging Ambience Intelligence (AmI) technology suggests itself to be of great potential for EHS applications, owing to its strength in constructing a pervasive computing environment that is sensitive and responsive to the presence of human users. The key challenge of AmI implementation lies in context awareness, namely how to align with the specific decision making scenarios of particular EHS applications. This paper proposes a context-aware information model in a smart home to tackle the EHS problem. Mainly, rough set theory is applied to construct user activity models for recognizing various activities of daily living (ADLs) based on the sensor platform constructed in a smart home environment. Subsequently, issues of case comprehension and homecare services are also discussed. A case study in the smart home environment is presented. Initial findings from the case study suggest the importance of the research problem, as well as the feasibility and potential of the proposed framework.

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A Reference Model for Smart Home Environment: Functions, Semantics and Deployment

Trends and Innovations in Information Systems and Technologies - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-45688-7_55 ◽

2020 ◽

pp. 549-559

Author(s):

Wenbin Li ◽

Matthieu Liewig ◽

Fano Ramparany

Keyword(s):

Home Environment ◽

Smart Home ◽

Reference Model ◽

Smart Home Environment

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Smart Home Environment Future Challenges and Issues - A Survey

Journal of Electronics and Informatics - September 2019 ◽

10.36548/jei.2021.1.001 ◽

2021 ◽

Vol 3 (1) ◽

pp. 1-8

Author(s):

Sathesh ◽

Yasir Babiker Hamdan

Keyword(s):

Energy Management ◽

Home Environment ◽

Smart Home ◽

Automation System ◽

Home Automation ◽

Negative Effects ◽

Research Article ◽

Home Energy Management ◽

Smart Home Environment ◽

Home Automation System

The smart home automation is that the exploitation internet enabled devices remotely and mechanically management appliances such as lighting, heating system and security measures in and around your home. This papers talks about relative emission effects in Home Energy Management. Also the result outcome is that consumption of the electricity will be reduced towards green environment. Moreover, the research paper is considering the analysis of calculate the negative effects in environment due to full home automation system. While calculating these negative effects, the Life Cycle Assessment (LCA) should be in sum total. This study uses to analysis the electricity consumption for environment impact of Home Energy Management system (HEMs). The research article discusses home automation system consumes the energy for different devices connected for smart home. The maximum energy consumption in smart home network is smart plugs due to an uninterrupted supply. Therefore this research article comprises about home automation energy management that shows the balance energy consumption between the devices in a regular interval. Also this research article provides a future challenge tasks in security issues in smart home environment. Also the perception for smart home environment focuses the Interoperability, Reliability, Integration of smart homes and term privacy in context, term security and privacy vulnerabilities to smart home.

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