title = {User authentication through biometric sensors and decision fusion},
  booktitle = {Information Sciences and Systems (CISS), 2013 47th Annual Conference on},
  year = {2013},
  month = mar,
  pages = {1-6},
  keywords = {Active Au-thentication, authorisation, Bayes methods, Behavioral Biometrics, behavioral biometrics profile, binary classification, binary detector, biometric sensors, Computers, decision fusion, decision fusion center, desktop computers, detection probability maximization, detectors, DFC, false accept rate, false alarm probability, false alarm tolerance level, false reject rate, FAR, feature extraction, FRR, global authentication decision, global error rates, Gold, human computer interaction, human-computer interaction, individual feature classification, keyboard dynamics, keyboards, laptop computers, local detectors, local sensors, Measurement, Mice, mouse controllers (computers), mouse movements, Naive Bayes classifiers, Neyman-Pearson criterion, parallel binary decision fusion architecture, pattern classification, receiver operating characteristic computation, ROC computation, sensor fusion, tolerance analysis, upper bound, user authentication, user identity verification},
  doi = {10.1109/CISS.2013.6552271},
  author = {Acharya, Sayandeep and Fridman, A. and Brennan, Patrick and Juola, P. and Greenstadt, R. and Kam, Moshe}