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  2. Keystroke dynamics - Wikipedia

    en.wikipedia.org/wiki/Keystroke_dynamics

    Keystroke dynamics. Keystroke dynamics, keystroke biometrics, typing dynamics, or typing biometrics refer to the collection of biometric information generated by key-press-related events that occur when a user types on a keyboard. [1] Use of patterns in key operation to identify operators predates modern computing, [2] and has been proposed as ...

  3. Keystroke logging - Wikipedia

    en.wikipedia.org/wiki/Keystroke_logging

    Keystroke logging. Keystroke logging, often referred to as keylogging or keyboard capturing, is the action of recording (logging) the keys struck on a keyboard, [ 1][ 2] typically covertly, so that a person using the keyboard is unaware that their actions are being monitored. Data can then be retrieved by the person operating the logging program.

  4. Joint Probabilistic Data Association Filter - Wikipedia

    en.wikipedia.org/wiki/Joint_Probabilistic_Data...

    The joint probabilistic data-association filter (JPDAF) [ 1] is a statistical approach to the problem of plot association (target-measurement assignment) in a target tracking algorithm. Like the probabilistic data association filter (PDAF), rather than choosing the most likely assignment of measurements to a target (or declaring the target not ...

  5. This hand-tracking algorithm could lead to sign language ...

    techcrunch.com/2019/08/19/this-hand-tracking...

    Code reviews — peer reviews of code that help devs improve code quality — are time-consuming. According to one source, 50% of companies spend two to five hours a week… Apps

  6. Kanade–Lucas–Tomasi feature tracker - Wikipedia

    en.wikipedia.org/wiki/Kanade–Lucas–Tomasi...

    In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of dealing with the problem that traditional image registration techniques are generally costly. KLT makes use of spatial intensity information to direct the search for the position that yields the ...

  7. Cycle detection - Wikipedia

    en.wikipedia.org/wiki/Cycle_detection

    Cycle detection. In computer science, cycle detection or cycle finding is the algorithmic problem of finding a cycle in a sequence of iterated function values. For any function f that maps a finite set S to itself, and any initial value x0 in S, the sequence of iterated function values. must eventually use the same value twice: there must be ...

  8. Keystroke-level model - Wikipedia

    en.wikipedia.org/wiki/Keystroke-level_model

    Keystroke-level model. In human–computer interaction, the keystroke-level model ( KLM) predicts how long it will take an expert user to accomplish a routine task without errors using an interactive computer system. [ 1] It was proposed by Stuart K. Card, Thomas P. Moran and Allen Newell in 1980 in the Communications of the ACM and published ...

  9. TikTok's in-app browser could be keylogging, warns analysis

    techcrunch.com/2022/08/19/tiktok-fb-in-app...

    Aka, keylogging. “TikTok iOS subscribes to every keystroke (text inputs) happening on third party websites rendered inside the TikTok app. This can include passwords, credit card information and ...