Implementing a Sentient Computing System

By M. Addlesee, Rupert W. Curwen, Steve Hodges, Joseph Newman, Pete Steggles, Andy Ward, A. Hopper. Computer, 2001

591 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/c0b44083608b7a02ac8cd1c967a0902174b9210b

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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 framework for developing mobile, context-aware applications (2004, background): “Context acquisition and use was often tightly integrated into a single application [2], and could not easily be incorporated into other applications.”
A survey of active and passive indoor localisation systems (2012, unknown): “A second localisation system developed at AT&T Cambridge is the Active Bats system [43].”
Pedestrian localisation for indoor environments (2008, background): “The calculated positions are accurate to within 3 cm 95% of the time [1].”
Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors (2005, unknown): “People tracking is a fundamental problem in ubiquitous computing and has also been approached via a variety of sensors, including cameras, laser range finders, wireless networks, RFID (Radio frequency identification) badges, and infrared or ultrasound badges [2, 3, 8, 12, 18, 15, 26].”
Real-time communication and coordination in embedded sensor networks (2003, background): “The need to build distributed sensing, computing, and actuation systems, which share common perceptions with their users about the physical environment has been most clearly articulated in the sentient computing project [6].”
The location stack: a layered model for location in ubiquitous computing (2002, methodology): “For example , the ActiveBat system at AT&T Cambridge [1] uses a dense grid of ultrasound sensors installed in a dropped interior ceiling to provide precise localization of badges that contain small ultrasonic emitters.”
An architecture for privacy-sensitive ubiquitous computing (2004, methodology): “[6] Addlesee, M., R. Curwen, S.H. Newman, P. Steggles, A. Ward, and A. Hopper, Implementing a Sentient Computing System.”
SmartPDR: Smartphone-Based Pedestrian Dead Reckoning for Indoor Localization (2015, methodology): “The Cricket system [8] and Active Bat system [9] were based on the use of costly ultrasonic devices for indoor localization in a limited space.”
Broadband ultrasonic location systems for improved indoor positioning (2006, background): “A variety of fine-grained indoor location sensing solutions exist for mobile computing.”
Indoor localization without infrastructure using the acoustic background spectrum (2011, background): “[29] and several subsequent works [30, 3, 25, 6, 27] require that sensors or beacons be installed throughout the environment.”
Location Fingerprinting With Bluetooth Low Energy Beacons (2015, methodology): “Ground Truth Location: The Active Bat system [1] was available throughout the testbed and was used to provide ground truth position.”