How to build smart appliances?

By Albrecht Schmidt, Kristof Van Laerhoven. IEEE personal communications, 2001

315 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0c00b4e473b730a77bc9a19e4d2ea357f447e1bd

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Electrical and Electronic Engineering

Citations in the corpus

a CAPpella: programming by demonstration of context-aware applications (2004, background): “sensors (the “avoid intelligence” camp [3,4,20]), or they may build a recognition-based system (the “use intelligence” camp [2,22]) and focus their efforts on integrating sensed data to interpret user intent and actions.”
Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey (2023, background): “• Connected Consumer Electronics: Many everyday consumer electronics, such as smart TVs, smart speakers, and smart home assistants, are IoT devices that provide a seamless user experience and connectivity [43].”
A Context Modeling Survey (2004, background): “A representative for this kind of approach are the cues [37] developed within the TEA project [1, 38].”
Multi-Sensor Context-Awareness in Mobile Devices and Smart Artifacts (2002, background): “The combination of Table 1 Real world situations related to sensor data (adapted from [29]).”
Internet of Things: Architectures, Protocols, and Applications (2017, background): “Schmidt andVan Laerhoven [25] provide an overview of various types of sensors used for building smart applications.”
SenSay: a context-aware mobile phone (2003, background): “In a much more limited context the idea of smart appliances and phones was explored in [1], [3], [4] and [5].”
Design challenges for energy-constrained ad hoc wireless networks (2002, background): “…patterns, intelligent appliances that coordinate with each other and with the Internet for remote control, software upgrades, and to schedule maintenance, and entertainment systems that allow access to a VCR, Tivo box, or PC from any television or stereo system in the home [21] [22] [23] [24].”
Preprocessing techniques for context recognition from accelerometer data (2010, background): “Zerocrossings rate is the rate of zero-crossings along a signal and is commonly applied to audio signals to identify the surrounding environment [10] or the type of sound such as music, speech and noise [49].”
Sensor-Based Activity Recognition (2012, background): “This practice has been in place for a while [39], [40] and is expected to”
A survey on context-aware systems (2007, background): “Table 1 shows some examples of physical sensors [16]:”
The Internet of Things (2018, unknown): “Emergence of open standards and interfaces [6, 7]—cheap, pay-per-use access to deep computing capabilities—are enabling developers to quickly build and co- create novel applications that leverage vast amounts of data and capabilities exposed by IoT [8, 9].”
Requirements and design space for interactive public displays (2010, background): “Such sensors include touch and light sensors, passive IR sensors (motion detection), microphones and cameras, but also Bluetooth / RFID scanners for presence sensing as well as GPS, GSM, or WLAN-based location sensing (for a more comprehensive overview we refer to [52]).”
Wireless sensor networks for healthcare: A survey (2010, unknown): “tr in that area is the integration of sensing and consumer electronics technologies which would allow people to be constantly monitored [3].”
CoOL: A Context Ontology Language to Enable Contextual Interoperability (2003, background): “[6,7,8]), but refine the expressiveness by introducing the terminology of an aspect, which is discussed in detail in section 2.”
Context Aware Computing for The Internet of Things: A Survey (2013, unknown): “A discussion on commonly used sensor data types and sensors is presented in [121].”