Method and system for automated training of manual skills

• US 4,337,049 A
• Filed: 01/09/1981
• Issued: 06/29/1982
• Est. Priority Date: 01/09/1981
• Status: Expired due to Fees

• Current Assignee: Edward M. Connelly
• Original Assignee: Edward M. Connelly
• Inventors: Connelly, Edward M.
• Primary Examiner(s): Skogquist, Harland S.
• Application Number:
  US06/223,847
• Time in Patent Office: 536 Days
• Field of Search: 434/247, 434/248, 434/249, 434/250, 434/251, 434/252, 434/253, 434/254, 434/255, 434/256, 434/257, 434/258, 434/236
• US Class Current: 434/247
• CPC Class Codes: A63B 2024/0012 Comparing movements or motion sequences with a registered reference
• CPC Class Codes: A63B 2220/12 Absolute positions, e.g. by using GPS
• CPC Class Codes: A63B 2220/30 Speed
• CPC Class Codes: A63B 2220/40 Acceleration
• CPC Class Codes: A63B 2220/805 Optical or opto-electronic sensors
• CPC Class Codes: A63B 2220/806 Video cameras
• CPC Class Codes: A63B 2220/807 Photo cameras
• CPC Class Codes: A63B 24/0003 Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
• CPC Class Codes: A63B 69/00 Training appliances or apparatus for special sports training of parachutists B64D23/00
• CPC Class Codes: A63B 69/3608 Attachments on the body, e.g. for measuring, aligning, restraining A63B69/0059, A63B69/3673 take precedence
• CPC Class Codes: G09B 19/0038 Sports

Abstract

A method and system for automated training of a subject in manual skills, wherein body motion is measured so as to derive a set of motion variables, the motion variables are compared to a reference motion to derive a motion error value, the motion error value is compared to a threshold error value corresponding inversely to the proficiency level of the subject, and a training signal is provided to the subject whenever the motion error value exceeds the threshold error value. One embodiment of the inventive system comprises a plurality of lamps mounted on the subject, first and second cameras for scanning the subject in accordance with first and second reference systems, respectively, a selection circuit for selecting first and second motion data derived by the first and second cameras, a processor for processing the selected first and second motion data to determine a variation between the performance of the subject and a performance measure standard, and a training signal generator for providing a training signal to the subject whenever the variation exceeds a preset threshold level. In an analog version of this embodiment, motion data relative to each respective reference system is derived in sequence in analog form; in a digital version of this embodiment, motion data is derived concurrently, and in digital form, for each reference system. In a further embodiment of the inventive system, a plurality of rotating cylinders having light sources therein direct light toward the subject, on which a plurality of photosensors are mounted. Further inventive features include a self-calibration technique.

Claims

1. A method for automated training of a subject having a given proficiency in manual skills, comprising the steps of:

(a) measuring body motion so as to derive a set of motion variables,

(b) comparing said motion variables to a reference motion to derive a motion error value,

(c) comparing said motion error value to a threshold error value corresponding inversely to said given proficiency level of said subject, and

(d) providing a training signal to said subject whenever said motion error value exceeds said threshold error value.

2. The method of claim 1, comprising the additional step, between steps (b) and (c), of weighting said motion error value in accordance with actual body motion of said subject, as indicated by said set of motion variables.

3. The method of claim 1, comprising the additional step, between steps (a) and (b), of transforming said set of motion variables in accordance with a given coordinate system to a set of transformed motion variables, wherein step (b) comprises comparing said transformed motion variables to said reference motion.

4. The method of claim 1, comprising the additional step (e) of decreasing said threshold error value used in step (c) as the proficiency level of the subject increases.

5. A system for automated training of a subject having a given proficiency in manual skills, comprising:

measuring means for measuring body motion so as to derive a set of motion variables,

comparing means for comparing said motion variables to a reference motion to derive a motion error value,

additional comparing means for comparing said motion error value to a threshold error value corresponding inversely to said given proficiency level of said subject, and

providing means for providing a training signal to said subject whenever said motion error value exceeds said threshold error value.

6. The system of claim 5, further comprising weighting means for weighting said motion error value in accordance with actual body motion of said subject, as indicated by said set of motion variables.

7. The system of claim 5, further comprising transforming means for transforming said set of motion variables in accordance with a given coordinate system to a set of transformed motion variables, and wherein said comparing means compares said transformed motion variables to said reference motion.

8. A system for automated training of a subject in manual skills, comprising:

at least one lamp mounted on said subject and actuable to a lighted condition;

first camera means for scanning said subject in accordance with a first reference system to develop first motion data relevant to said first reference system;

second camera means for scanning said subject in accordance with a second reference system to develop second motion data relevant to said second reference system;

selection means for alternatively selecting said first motion data and said second motion data, respectively;

processing means for processing said selected first and second motion data to determine a system performance measure of said subject, which compares said subject performance to a performance measure standard to develop a variation therebetween; and

training signal means responsive to a preset threshold level for sending a training signal to said subject when said variation exceeds said present threshold level.

9. The system of claim 8, wherein said first and second motion data comprise analog signals, said selection means comprising an analog switch for selecting said analog signals comprising said first and second motion data, and converting means for converting said selected analog signals to digital form.

10. The system of claim 8, comprising first and second counter means responsive to said first and second motion data, respectively, for counting to develop first and second digital data, respectively, corresponding thereto, said selection means comprising logical gate circuitry for selecting said first and second digital data, and for providing said selected first and second digital data to said processing means.

11. The system of claim 8, comprising at least one reference light, mounted in the vicinity of said subject, and calibration means for automatically and periodically calibrating said system by automatically and periodically lighting said at least one reference light.

12. The system of claim 8, wherein said at least one lamp comprises a plurality of lamps, each corresponding to a respective reference coordinate system.

13. A system for automated training of a subject in manual skills, comprising:

a plurality of light sources;

control means for controlling said plurality of light sources to provide moving light beams;

sensor means comprising at least one sensor mounted on said subject for detecting said moving light beams and producing a sensor output in correspondence thereto;

processor means for processing said sensor output to determine a position of said at least one sensor in space, and thus to determine motion data comprising a system performance measure for said subject which compares subject performance to a performance measure standard to develop a variation therebetween; and

training signal means responsive to a preset threshold level for sending a training signal to said subject whenever said variation exceeds said preset threshold level.

14. The system of claim 13, wherein said plurality of light sources comprise three orthogonally disposed rotating cylinders with lamps contained therein.

15. The system of claim 13, said at least one sensor comprising a plurality of sensors, said system including selection means for selecting said sensor output of each of said plurality of sensors in sequence, and for providing said selected sensor outputs to said processor means.