Development of a voice-control smart home environment

2016 ◽  
Author(s):  
Wenkai Zhang ◽  
Zihao An ◽  
Zhendong Luo ◽  
Wenyu Li ◽  
Zhao Zhang ◽  
...  
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Voice Control ◽  
Smart Home Environment

The Design of Smart Home Monitoring System Based on ZigBee and Voice Recognition Technology

2014 ◽  
Vol 945-949 ◽  
pp. 2693-2697
Author(s):  
Jia Huang ◽  
Ye Chen Yang ◽  
Xiao Dong Zhai ◽  
Chen Yang
Keyword(s):  
Monitoring System ◽  
Home Environment ◽  
Smart Home ◽  
Voice Recognition ◽  
Home Monitoring ◽  
Environment Monitoring ◽  
Zigbee Technology ◽  
Voice Control ◽  
Smart Home Environment ◽  
And Control

This paper has designed a smart-home environment monitoring system. The System is based on ZigBee technology establishing wireless sensor network , using the SCM of CC2530 RF as the solutions to the system of the ZigBee technology, achieving parameter detection of multi-environment, and controlling the receive and dispatch of signals . Meanwhile, the system uses LD3320 voice chip, take the use of (non-specific) voice recognition technology to accept and control signal, realizing voice control for home appliances. And the distribution of the system is flexible and can change any monitoring points and monitor objects. It has good scalability and stability and can be used in various occasions for environmental monitoring.

IntelliHome: An internet of things‐based system for electrical energy saving in smart home environment

2019 ◽  
Vol 36 (1) ◽  
pp. 203-224 ◽  
Author(s):  
Mario A. Paredes‐Valverde ◽  
Giner Alor‐Hernández ◽  
Jorge L. García‐Alcaráz ◽  
María del Pilar Salas‐Zárate ◽  
Luis O. Colombo‐Mendoza ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Saving ◽  
Home Environment ◽  
Smart Home ◽  
Electrical Energy ◽  
Smart Home Environment

A Context-Aware Information Model for Elderly Homecare Services in a Smart Home

2009 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin Roger Jiao ◽  
Songlin Chen ◽  
Daqing Zhang
Keyword(s):  
Home Environment ◽  
Smart Home ◽  
Rough Set Theory ◽  
Research Problem ◽  
Information Model ◽  
Context Aware ◽  
Sensor Platform ◽  
Smart Home Environment ◽  
Manual Assistance

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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