System and Method for Recognition and Response to Gesture Based Input

• US 20150084859A1
• Filed: 09/23/2014
• Published: 03/26/2015
• Est. Priority Date: 09/23/2013
• Status: Abandoned Application

• Current Assignee: Yair Itzhaik
• Original Assignee: Yair Itzhaik
• Inventors: ITZHAIK, Yair
• Application Number:
  US14/493,642
• Publication Number:
  US 20150084859A1
• Time in Patent Office: Days
• US Class Current: 345/156
• CPC Class Codes: G06F 21/31 User authentication
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0304 Detection arrangements using opto-electronic means constructional details of pointing devices not related to the detection arrangement using opto-electronic means G06F3/033; optical digitisers G06F3/042
• CPC Class Codes: G06F 3/038 Control and interface arrangements therefor, e.g. drivers or device-embedded control circuitry
• CPC Class Codes: G06V 40/28 Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113

Abstract

A method for user identification by using multiple sensing devices configured for sensing at least one characteristic associated with user'"'"'s gestures. The method includes the steps of: receiving data from the sensing devices indicative of at least one gesture of a user; identifying at least one gesture and at least one characteristic thereof from the data from each sensing device, using at least one gesture recognition analysis process; and identifying the user according to the identified at least one gesture and characteristics, wherein these steps are carried out via at least one processor of at least one user device.

Claims

1. A method for user identification comprising the steps of:

a) receiving data from multiple sensing devices indicative of at least one gesture of a user;

b) identifying at least one gesture and at least one characteristic thereof from the data from each sensing device, using at least one gesture recognition analysis process; and

c) identifying a code associated with the user according to the identified at least one gesture and characteristics thereof,

said steps are carried out via at least one processor of at least one user device.

2. The method according to claim 1, wherein the user is required to carry out a predetermined sequence of multiple gestures, wherein each of these gestures of the users is sensed by a different sensing device according to the sequence in which they were performed by the user, wherein said identification of the gestures also comprises identification of the sequence of gestures and said code identification is based both on the gestures type and input sequence thereof.

3. The method according to claim 1 further comprising:

a) simultaneously sensing the same at least one gesture of the user by the sensing devices, wherein the identification of the code is done by identification of the gesture via at least one characteristic thereof; and

b) authenticating the identified at least one gesture from each sensing device by comparing the at least one gesture identified from each sensing device, wherein an authentication is valid only when the same at least one gesture is identified from all sensing devices.

4. The method according to claim 1, wherein each sensing device is operated through a different user device and the processing including said method steps is carried out at one of these user devices.

5. The method according to claim 4 further comprising transmitting data from the user device that does not carry out the processing to the user device that carries out the processing via at least one communication link

6. The method according to claim 1 further comprising visually and/or audibly presenting a set of instructions to the user

7. A method for identification of signs comprising the steps of:

a) sensing at least two types of inputs one of which is a physical gesture, said inputs are performed by a subject simultaneously, wherein said sensing is carried out by using at least one sensing device;

b) receiving the at least two inputs simultaneously sensed;

c) processing said received simultaneously sensed inputs for identifying at least one sign associated therewith by cross-matching theses recorded inputs, said processing is carried out by using at least one computer processor.

8. The method according to claim 7, wherein said identification of signs is used for automatic word and/or sentences identification and completion.

9. The method according to claim 7, wherein each of said inputs types comprises one of:

body gesture, lips movement, hands movement, audio input, text input.

10. The method according to claim 7, wherein said signs comprise at least one of:

phonemes, syllables, words, sentences, symbols.

11. The method according to claim 7 further comprising visually and/or audibly presenting said identified sign or a sequential set thereof identified as a word over at least one screen.

12. The method of claim 7 wherein the sign is a personal signature.

14. The method according to claim 11, wherein said identification of computer functions is carried out by using a database having a data structure in which each gesture or a sequence of gestures is associated with a specific single function in an injective manner.

15. The method according to claim 11, wherein gestures or sequences thereof trigger computer functions equivalent to computer mouse functions such that the actual computer function executed depends on the gesture and characteristics thereof as well as on its respective context in relation to the computer status and/or previous computer functions.

16. The method according to claim 11, wherein each gesture is a hand gesture illustrating a two-dimensional symbol, wherein each symbol or a sequence thereof is associated with a single general function , such as the symbol represent the name or unique prefix of the functionality.

17. The method according to claim 16 wherein the functionality relates to the context of current use of an application.

13. A method of gesture recognition and translation comprising the steps of:

a) sensing gestures performed by a subject, using at least one sensing device;

b) recognizing each of the gestures by identifying characteristics of each sensed gesture;

c) identifying a computer function that is associated with the recognized gesture or with a sequence of recognized gestures in an injective manner; and

d) operating the identified computer function over a computer device,

wherein each identified gesture is translated into a computer function by at least one processor configured by operating a predefined set of computer commands of the associated function.

18. A method for identification of motion tracking/tracing of an object comprising the steps of:

a) measuring motion of a single object motion by at least two motion capture sources, wherein one motion capture source captures the motion of an object from distance said object and a second sensor is associated or attached or embedded to said object;

b) receiving the at least two inputs simultaneously sensed;

c) processing said received simultaneously sensed inputs for identifying at least one motion track/trace by cross-matching theses recorded inputs, said processing is carried out by using at least one computer processor.

19. The method of claim 18 wherein the motion tracing creates a personal signature.