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Table 1. Summary of Major Biometric Applications

in Can soft biometric traits assist user recognition?
by Anil K. Jain A, Sarat C. Dass B, Karthik N, Akumar A
"... In PAGE 1: ... Biometric recognition systems have been widely deployed in forensic, government and commercial applications. Table1 summarizes some of the major applications that use biometric technologies. In addition to these biometric traits, newer technologies based on diverse characteristics like vein scan, facial and hand thermography, ear shape, gait, keystroke dynamics and palm-print are under various stages of development.... ..."

Table 2 Repeat Keystrokes as a Ratio of all Keystrokes

in KSPC (Keystrokes per Character) as a Characteristic Of Text Entry Techniques
by I. Scott MacKenzie 2002
Cited by 43

Table 2. Selected results of the evaluation # of images for enrollment Template adaptation Feature

in A Pose Invariant 3D Face Recognition Method
by Venkat R. Ayyagari, Faysal Boughorbel, Andreas Koschan, Besma Abidi, Mongi A. Abidi
"... In PAGE 4: ...8GHz CPU. Table2 . Identification accuracy comparison based on automatically and manually extracted feature points.... In PAGE 24: ... Furthermore, the attack should be considered a zero-effort as mimicry was not considered in our study. Table2 shows the hardening effect before and after augmenting traditional username / password authentication scheme with keystroke dynamics analysis module. In Table 2, the FAR using conventional username / password credentials is 100%.... In PAGE 24: ... Table 2 shows the hardening effect before and after augmenting traditional username / password authentication scheme with keystroke dynamics analysis module. In Table2 , the FAR using conventional username / password credentials is 100%. In the our scheme we observe that the FAR drops to 7% and 5% in short and long passwords respectively.... In PAGE 24: ... 4. Future Work Password Hardening FAR(%) FRR(%) Password Type Before After Before After Short 100 7 0 7 Long 100 5 0 5 Table2 . System Password Hardening Effect Further researcsh may include the expansion of the user specific classifiers.... ..."

Table 1: Bandwidth of the number of keystrokes related to the strategies

in Discriminating Task Solving Strategies Using Statistical and Analytical Methods
by S. Schluep, M. Fjeld, M. Rauterberg
"... In PAGE 2: ... Remaining Behaviour All users in the experiment succeeded in solving the task. The effort measured by the number of keystrokes varied among the users, even if they applied the same strategy ( Table1 ). This indicates that the amount of their remaining behaviour varied among users, since the number of keystrokes is assumed to be constant for each strategy.... ..."

Table 12. Minimum Number of Keystrokes for Retrieval

in Destination Designation Entry and Retrieval with the Ali-Scout Navigation System
by Steve Underwood, Ph D. Principal Investigator, Aaron Steinfeld, Aaron Steinfeld, Aaron Steinfeld, Daniel Manes, Daniel Manes, Daniel Manes, Paul Green, Paul Green, Paul Green, David Hunter, David Hunter, David Hunter 1996
"... In PAGE 34: ... The 20 locations were split into 4 groups of 5 locations, with the minimum number of keystrokes being equalized among groups. (See Table12 .) Locations were ordered... In PAGE 35: ... A shift activation was mistakenly ignored. The locations in Table12 that are shown in bold were originally believed to require one less keystroke. Table 12.... ..."

Table 2. Symptom key-stroke list

in Summary The Effects of Promethazine on Human Performance, Mood States, and Motion Sickness Tolerance
by Patricia S. Cowings, Cynthia Stout, William B. Toscano, Samuel Reynoso, Charles Deroshia, Patricia S. Cowings, Cynthia Stout, William B. Toscano, Samuel Reynoso 1996

Table 9: Keystroke saving rate and typing errors

in User Evaluation of a Word Prediction System
by Malin Wester, Eva Ejerhed

TABLE 15. TIME/KEYSTROKE ANOVA

in A Pilot Evaluation Of Text Display Formats For Weather Information In The Cockpit
by Albert Rehmann October, Albert J. Rehmann, Cseriac Task

TABLE 16. TIME PER KEYSTROKE BY METHOD (SECONDS)

in A Pilot Evaluation Of Text Display Formats For Weather Information In The Cockpit
by Albert Rehmann October, Albert J. Rehmann, Cseriac Task

Table 1. Prediction Without vs. With Grammatical Tags: Keystroke Savings

in Probability-Based Word Prediction for Writing Support in Dyslexia
by Johan Carlberger, Tina Magnuson, Johan Carlberger, Henrik Wachtmeister, Sheri Hunnicutt 17
"... In PAGE 3: ... Table1 . The first line of each test section in the table is the percentage of all keystrokes saved, the second line is the percentage of letter keystrokes saved, and the third line is the maximum percentage of letter keystrokes that could have been saved given the specific test text and database, which is identical for all conditions.... ..."
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