Method and arrangement for entering data in an electronic apparatus and an electronic apparatus

• US 6,956,506 B2
• Filed: 06/26/2001
• Issued: 10/18/2005
• Est. Priority Date: 06/28/2000
• Status: Expired due to Term

• Current Assignee: Conversant Wireless Licensing S.à.r.l. (f/k/a Core Wireless Licensing S.a.r.l.) (MOSAID Technologies Inc. (f/k/a Conversant Intellectual Property Management))
• Original Assignee: Nokia Mobile Phones UK Limited (Nokia Corporation)
• Inventors: Koivumäki, Jussi, Kinnula, Atte, Mäntyjärvi, Jani
• Primary Examiner(s): Edwards, Jr., Timothy
• Application Number:
  US09/892,000
• Publication Number:
  US 20020006807A1
• Time in Patent Office: 1,575 Days
• Field of Search: 341/22, 341/26, 382/156, 382/161, 345/7, 345/8, 345/25, 345/168, 400/489
• US Class Current: 341/22
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00

Abstract

The invention relates to a method and arrangement for creating a virtual keyboard for a terminal (800) used in a cellular network. The virtual keyboard is generated using an IR transceiver arrangement (12) in which a reflection from an obstacle (15) placed in the field of IR transmitters is registered by discrete IR receivers. The received reflection data are processed in a neural network arrangement (33). The purpose of the data processing is to find out the virtual key position/function that the received reflection data corresponds to.

Claims

1. A method for entering data in an electronic apparatus housed within a body, which method comprises the steps of

emitting infrared radiation from two or more infrared transmitters in at least one plane,

placing an obstacle in the radiation field of the infrared transmitters,

receiving infrared radiation reflected from the obstacle by at least one infrared receiver in at least one plane,

preprocessing the received reflected signal, and

determining the position of the obstacle on the basis of the received preprocessed signal,

wherein for determination of the position of the obstacle in at least one plane, a neural network arrangement is used into which the preprocessed signal is conducted to determine the position.

2. A method according to claim 1 wherein the neural network arrangement is a multiplayer-perception (MLP) network.

3. A method according to claim 1 wherein in signal preprocessing, an analog sample is taken from the received signal, the analog sample taken is converted digital in an AD converter, a train of samples is formed of successive digital samples and the said digital train of samples is low-pass filtered by a digital filter.

4. A method according to claim 1 wherein infrared radiation is received by two infrared receiver arrangements at a known angle with respect to each other in order to determine the position of a three-dimensional obstacle.

5. A method according to claim 1 wherein infrared radiation is received by two infrared receiver arrangements at a known angle with respect to each other in order to recognize the movement of a three-dimensional obstacle.

6. An input arrangement for entering data in an electronic apparatus housed within a main body, which arrangement comprises a means for creating and using a virtual keyboard containing at least one row of virtual keys generated in an input area outside the main body of the apparatus, including two or more infrared transmitters in at least one plane to generate infrared radiation that is reflected by an obstacle in a radiation field to at least one infrared receiver to determine a position of the obstacle wherein the means further comprises a pattern-recognizing neural network element stored in the memory of the apparatus to recognize the use of a given key in the virtual keyboard.

7. An input arrangement according to claim 6 wherein the input arrangement comprises two input arrangements at a known angle with respect to each other in order to create a three-dimensional virtual user interface.

8. An input arrangement according to claim 6 wherein the said electronic apparatus is a cellular phone.

9. An input arrangement according to claim 6 wherein the means for creating a virtual keyboard comprises an IR transceiver arrangement, which comprises an infrared transmitter for emitting infrared radiation to the data input area and an infrared receiver for measuring the infrared radiation reflected from an obstacle.

10. An input arrangement according to claim 9 wherein the infrared receiver includes a peak value hold circuit.

11. An input arrangement according to claim 9 wherein the IR transceiver arrangement includes an oscillator to generate the clock frequency required by the input arrangement.

12. A neural network element of an input arrangement according to claim 6 wherein the said neural network element comprises a signal input part and at least one neural network.

13. A neural network in an input arrangement according to claim 12 wherein the neural network is a MLP network.

14. An input arrangement according to claim 13 wherein the MLP network comprises at least one input signal feed line for inputting data to at least one of the neurons of a hidden layer, at least one hidden layer, at least one connection from the neurons of the hidden layer to the output cells of the neural network, and at least one output cell of the neural network to indicate the decision made by the neural network.

15. An input arrangement according to claim 6 wherein the arrangement further comprises a signal preprocessing part to convert an analog signal into a digital signal.

16. An input arrangement according to claim 15 wherein the signal preprocessing part includes a background radiation compensation circuit, sampling circuit and AD converter and a low-pass filter.

17. An input arrangement according to claim 16 wherein the upper frequency limit of the low-pass filter is of the order of 5 to 20 Hz.

18. An input arrangement according to claim 16 wherein the low-pass filter is an IIR filter.

19. An input arrangement according to claim 16 wherein the low-pass filter is a FIR filter.

20. A program in a neural network element belonging to a virtual keyboard for recognizing the position of an obstacle placed in the virtual keyboard, the program comprising:

a step of receiving input signals in all neurons of a hidden layer,

a step of weighting input signals by suitable weighting coefficients in each hidden-layer neuron,

a step of adding up the weighted input signals in each hidden-layer neuron in order to produce an output signal,

a step of processing the output signal in the activation element of each hidden-layer neuron in order to produce a result signal,

a step of processing the result signals of the hidden-layer neurons in the output cells, and

a step of implementing the results of the inference routines of the neural network element.

21. A neural network program according to claim 20 wherein the program is stored in the memory of an electronic apparatus to realize a virtual keyboard.

22. A neural network program according to claim 21 wherein the electronic apparatus is a cellular terminal.

23. A cellular terminal comprising

means for receiving signals,

means for transmitting signals including two or more infrared transmitters,

a means for controlling the operation of the terminal,

a memory for storing programs,

an IR transceiver for creating a virtual keyboard, and

which cellular terminal further comprises a neural network program stored in the memory of the terminal to implement the inference routines for the operation of the virtual keyboard.

24. A terminal according to claim 23 wherein it is a cellular phone.