Signal detection theory: valuable tools for evaluating inductive learning
Proceedings of the sixth international workshop on Machine learning
Information-Based Evaluation Criterion for Classifier's Performance
Machine Learning
Challenges: device-free passive localization for wireless environments
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Pervasive and Mobile Computing
Dynamic clustering for tracking multiple transceiver-free objects
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Sensing motion using spectral and spatial analysis of WLAN RSSI
EuroSSC'07 Proceedings of the 2nd European conference on Smart sensing and context
See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks
IEEE Transactions on Mobile Computing
RASS: A real-time, accurate and scalable system for tracking transceiver-free objects
PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
Accurate GSM indoor localization
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
You are facing the Mona Lisa: spot localization using PHY layer information
Proceedings of the 10th international conference on Mobile systems, applications, and services
No need to war-drive: unsupervised indoor localization
Proceedings of the 10th international conference on Mobile systems, applications, and services
Spatial Models for Human Motion-Induced Signal Strength Variance on Static Links
IEEE Transactions on Information Forensics and Security - Part 1
AWESOM: automatic discrete partitioning of indoor spaces for wifi fingerprinting
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
Indoor pedestrian navigation based on hybrid route planning and location modeling
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
ARIEL: automatic wi-fi based room fingerprinting for indoor localization
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Device-free and device-bound activity recognition using radio signal strength
Proceedings of the 4th Augmented Human International Conference
SCPL: indoor device-free multi-subject counting and localization using radio signal strength
Proceedings of the 12th international conference on Information processing in sensor networks
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
DopLink: using the doppler effect for multi-device interaction
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Adaptive clustering for device free user positioning utilizing passive RFID
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Ambient intelligence sensing using array sensor: device-free radio based approach
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
RF-Based device-free recognition of simultaneously conducted activities
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
New insights into wifi-based device-free localization
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Device-free indoor localization using ambient radio signals
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Whole-home gesture recognition using wireless signals
Proceedings of the 19th annual international conference on Mobile computing & networking
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We consider the recognition of activities from passive entities by analysing radio-frequency (RF)-channel fluctuation. In particular, we focus on the recognition of activities by active Software-defined-radio (SDR)-based Device-free Activity Recognition (DFAR) systems and investigate the localisation of activities performed, the generalisation of features for alternative environments and the distinction between walking speeds. Furthermore, we conduct case studies for Received Signal Strength (RSS)-based active and continuous signal-based passive systems to exploit the accuracy decrease in these related cases. All systems are compared to an accelerometer-based recognition system.