home computing

Sweet iintelligent home - user evaluations of MIMOSA housing usage scenarios

in home automation, home automation system, home computing, house information system, MIMOSA housing usage scenario, sweet intelligent home
Ikonen V.  2006.  Sweet iintelligent home - user evaluations of MIMOSA housing usage scenarios. Intelligent Environments, 2006. IE 06. 2nd IET International Conference on. 2:13-22.

Creating Robust Activity Maps Using Wireless Sensor Network in a Smart Home

in ambient intelligence, Bayesian network fusion engine, belief networks, contextual information, home automation, home computing, location-aware activity recognition, mobile computing, multimodal wireless sensors, nonintrusive wireless sensors, robust activity maps, sensor fusion, smart home, wireless sensor network, wireless sensor networks
Lu C-H, Ho Y-C, Fu L-C.  2007.  Creating Robust Activity Maps Using Wireless Sensor Network in a Smart Home. Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on. :741-746.

Using the modular controller architecture (MCA) in ambient assisted living

in ambient assisted living, ambient intelligence, ARTOS, behavior-based reactive systems, communication-oriented capabilities, distributed dynamic applications, distributed processing, home computing, human localisation technologies, intelligent refrigerator, intelligent robots, machine intelligence, mobile robotics, mobile robots, mobile service robot, modular controller architecture, service interconnection, service robots, shared memory approach, shared memory systems, software architecture, software architectures
Koch J, Anastasopoulos M, Berns K.  2007.  Using the modular controller architecture (MCA) in ambient assisted living. Intelligent Environments, 2007. IE 07. 3rd IET International Conference on. :411-415.

Bespoke appliances for the digital home

in bespoke appliances, CEA, consumer experience architecture, digital home, domestic appliances, home computing, meta-appliances, product development, systematic development
Johnson BD, Callaghan V, Gardner M.  2008.  Bespoke appliances for the digital home. Intelligent Environments, 2008 IET 4th International Conference on. :1-7.

Broadband and home networks in Sweden -commercial deployments and research status

in broadband access, broadband networks, high-quality home network, home computing, Sweden
Larsen CP.  2008.  Broadband and home networks in Sweden -commercial deployments and research status. Broadband Communications, Networks and Systems, 2008. BROADNETS 2008. 5th International Conference on. :227-231.

A human-centric and cooperative architecture for multiple target tracking in a smart home

in cooperative architecture, cooperative systems, home computing, human factors, human-centric architecture, intelligent sensors, load sensory floor, location-aware applications, multiple target tracking sensors, RFID, seamful sensors, seamless sensors, smart home, target tracking
Lu C-H, Fu L-C.  2009.  A human-centric and cooperative architecture for multiple target tracking in a smart home. Pervasive Computing (JCPC), 2009 Joint Conferences on. :407-412.

DEHEMS: A user-driven domestic energy monitoring system

in computerised monitoring, design for environment, energy conservation, energy consumption, energy literacy, environmental awareness, home computing, human computer interaction, next generation DEHEMS system, persuasive energy monitoring, social aspects of automation, sustainable development, sustainable energy lifestyle, UK, usability assessment, user-driven domestic energy monitoring system
Sundramoorthy V, Liu Q, Cooper G, Linge N, Cooper J.  2010.  DEHEMS: A user-driven domestic energy monitoring system. Internet of Things (IOT), 2010. :1-8.

Domesticating Energy-Monitoring Systems: Challenges and Design Concerns

in digital home energy management system, domestic energy consumers, domestic energy consumption, energy consumption, energy management systems, home computing, user experience, user interfaces, user preference
Sundramoorthy V, Cooper G, Linge N, Liu Q.  2011.  Domesticating Energy-Monitoring Systems: Challenges and Design Concerns. Pervasive Computing, IEEE. 10:20-27.