EP1535237A1

Biometrisches akustisches schreibsystem und verfahren zur personenidentifikation und handschriftenerkennung mittels biometrischer daten

Abstract

This record has no abstract on file.

Term

Term ended

Projected expiry passed 4 September 2023, 3.1 years ago.

  1. Priority
  2. Filed
  3. Published
  4. Projected expiry
  5. Today

114 claims: 20 independent, 94 dependent

  1. 1
    Translation of claims of equivalent WO 2004023382 A1 1. Biometric acoustic writing system (1) with:(A) a pen housing (31) for performing hand-guided movements on a base (4);(B) at least one in the pen housing (3) integrated microphone (5) for the acoustic detection of sound signals caused by the hand-guided movements;(C) and a data processing unit (11) for calculating biometric data in dependence on the detected sound signals.
  2. 9
    9th Biometric acoustic writing system according to one of the preceding claims, characterized in that the microphone (5) is arranged in an airborne sound chamber (7) provided in the pen housing (3).
  3. 25
    25th Biometric, acoustic writing system according to Anspru ch 27, characterized in that in addition a tilt sensor (40) is provided which detects the tendency of the writing pen (2) and thus the motor movement of the pen-guiding fingers when writing.
  4. 51
    51st Biometric writing system according to one of the preceding claims, characterized in that the detected sensor signal data via a data transmission path (18) from the pen housing (3) to a in a local computer (20) integrated data processing unit (19) are transmitted.
  5. 52
    52nd Biometric writing system according to one of the preceding claims, characterized in that in the pen housing (3) an encryption unit (17) for encrypting reference data of the sensor signal data is provided.
  6. 54
    54th Biometric writing system according to one of the preceding claims, characterized in that a data memory for storing biometric reference data, position data of the writing movement and of spoken information are provided.
  7. 55
    55th Biometric writing system according to one of the preceding claims, characterized in that the biometric reference data by the data processing unit (11) from the recorded during writing and speaking at least one word sound signal data from optical motion data, mechanical vibration and pressure data and tilt data are calculated and stored in a reference data memory ,
  8. 57
    57th Biometric writing system according to one of the preceding claims, characterized in that the reference data memory is a microchip of an identity card, a credit card, an authorization magnetic card or a memory unit of a computer or of the writing system (1).
  9. 65
    65th Biometric writing system according to one of the preceding claims, characterized in that the data processing unit (11, 19) compares the calculated current biometric data with the stored biometric reference data for their verification and identification.
  10. 70
    70th Biometric writing system according to one of the preceding claims, characterized in that with the stored biometric reference data of a person identified or verified via the handwritten input currently written, simple characters are reconstructed.
  11. 71
    71st A method of generating personal biometric reference data comprising the steps of:(a) acoustically detecting hand-held writing movements performed with a pen (2) on a pad (4) when a character writes a word, word or phrase, and generating corresponding sound signal data;(b) storing the generated sound signal data as a digital scarf1 time signal;(c) calculating frequency spectra as a spectrogram from the time-segmented sound signal data by means of fast Fourier transformation;(d) determining amplitude-time signals of selected frequencies for detecting the amplitude dynamics in the calculated spectrogram;(e) calculating an associated frequency spectrum from the selected amplitude time signals by means of fast Fourier transformation;(f) determining first biometric data from the sound and vibration intensity of the digital time signals by means of feature extraction;(g) determining second biometric data from the calculated spectrogram of the time-segmented sonic and vibrational time signals by means of feature extraction. (h) determining third current biometric data by means of feature extraction from the calculated frequency spectrum of the amplitude-time signals;(i) determining fourth current biometric data by means of feature extraction from acquired dynamic writing pressure, vibration and slope data;
  12. 87
    87th Method for verification and identification of a person with the following steps:(A) acoustically detecting hand-held writing movements performed with a pen (2) on a pad (4) in writing a character, word or phrase by the person and generating corresponding sound signal data;(b) generating writing pressure signal data for writing pressure and vibration signal data for vibrations transmitted from the writing pen to at least one pressure and vibration sensor;(c) storing the generated signal data as digital time signals;(d) calculating frequency spectra as a spectrogram from the stored time-segmented sound and vibration time signals by means of fast Fourier transformation;(e) determining amplitude-time signals of selected frequencies for detecting the amplitude dynamics in the spectrogram of the sound and vibration timing signals;(f) calculating an associated frequency spectrum from the selected amplitude-time signals by means of fast Fourier transformation;(g) determining first current biometric data from the sonic and vibrational intensity of the digital time signals using feature extraction;(h) determining second current biometric data from the and vibration time signals using feature extraction;(i) determining third current biometric data by feature extraction from the frequency spectra of the amplitude-time signals;(j) determining fourth current biometric data by means of feature extraction from the dynamic writing pressure data and;(k) comparing the current biometric data with stored biometric reference data of the person to verify that the current biometric data is substantially consistent with the stored biometric reference data of the individual;(1) comparing the current biometric data with stored biometric reference data of a plurality of individuals to identify whether the current biometric data is substantially consistent with the stored biometric reference data of one of the stored individuals.
  13. 97
    97th Method according to one of the preceding claims 87 to 96, that in addition an originating from the person speech signal ak- acoustically detected and corresponding sound signal data are generated.
  14. 98
    98th Method according to one of the preceding claims 87 to 96, characterized in that in a training phase reference feature vectors and in a working phase, the current feature vectors for corresponding characters, sketches or words from the acoustic writing signal data, the optical position data, the writing pressure data and voice data are determined and stored ;
  15. 99
    99th Method according to one of the preceding claims 87 to 96, characterized in that from feature vectors of the acquired signal data by means of statistical, connectionist and knowledge-based methods corresponding characters, picture elements, sketches, word segments, words or word sequences are determined.
  16. 100
    100th Method according to one of the preceding claims 87 to 96, characterized in that the acoustic handwriting recognition (ACR), the optical handwriting recognition (OCR) and the speech recognition integrated in one and the same writing system and the methods for image and text recognition are combined.
  17. 101
    One hundred and first Method according to one of the preceding claims 87 to 96, characterized in that the characteristics of the acoustic and optical data and printing data for the reconstruction of input characters, picture elements, words and texts are correlated and then stored as feature vectors.
  18. 102
    102nd Method according to one of the preceding claims 87 to 96, characterized in that from the correlated feature vectors of the acquired signal data by means of statistical, connectionist and knowledge-based methods according to characters, pixels, sketches, word segments, words or word sequences are determined;
  19. 112
    112th Use of the biometric writing system according to one of the preceding claims 1 to 70 as a training system for learning writing.
  20. 114
    114th Use of the biometric writing system as a multifunctional computer input system of a virtual desk.
Independent claims20