Determining digit movement from frequency data
For indirect determination of digit movement, apparatus, methods, and computer program products are disclosed. The apparatus for indirect determination of finger movement includes a processor and a memory that stores code executable by the processor. The processor obtains frequency data corresponding to movement of a user's limb, extracts frequency data having a predetermined feature value from the measured frequency data; and determines from the extracted frequency data whether the movement of the limb corresponds to a predetermined digit motion.
1. An apparatus comprising:
a movement sensor that captures multi-axis movement data corresponding to movement of a user's limb, the movement corresponding to at least one of: translational movement of a sensor and rotational movement of the sensor;
a processor;
a memory that stores code executable by the processor to:
extract one or more frequency features from the multi-axis movement data;
extract digit movement data from the extracted one or more frequency features, wherein extracting digit movement data comprises extracting frequency data having a predetermined feature value from the extracted one or more frequency features; and
determine from the extracted digit movement data whether the multi-axis movement data corresponds to a predetermined motion of a digit.
2. The apparatus of claim 1 , wherein the movement sensor comprises an acceleration sensor that measures translational movement on multiple axes, wherein capturing multi-axis movement data corresponding to movement of a user's limb comprises receiving frequency data from the acceleration sensor.
3. The apparatus of claim 2 , wherein the movement sensor comprises a gyro sensor that measures rotational movement, wherein capturing multi-axis movement data corresponding to movement of a user's limb comprises combining frequency data received from the acceleration sensor with frequency data received from the gyro sensor.
4. The apparatus of claim 1 , wherein the predetermined feature value is a preset frequency range.
5. The apparatus of claim 1 , wherein determining whether the multi-axis movement data corresponds to a predetermined motion of a digit comprises comparing the magnitude of the extracted digit movement data to a threshold value.
6. The apparatus of claim 1 , wherein determining whether the multi-axis movement data corresponds to a predetermined motion of a digit comprises determining whether the extracted digit movement data matches a preset pattern.
7. The apparatus of claim 1 , wherein the processor further performs an action corresponding to the predetermined motion of a digit.
8. The apparatus of claim 7 , wherein the action corresponding to the predetermined motion of a digit is a pointer control command.
9. The apparatus of claim 1 , wherein the one or more frequency features include a frequency corresponding to movement of a limb surface.
10. The apparatus of claim 1 , wherein the limb is an arm and the apparatus is located at a wrist of the user, wherein capturing multi-axis movement data corresponding to movement of a user's limb comprises measuring movement of a surface of the wrist.
11. A method comprising:
captures multi-axis movement data corresponding to movement of a user's limb, the movement corresponding to at least one of: translational movement of a sensor and rotational movement of the sensor;
extracting, by use of a processor, one or more frequency features from the multi-axis movement data;
extracting digit movement data from the extracted frequency features, wherein extracting digit movement data comprises extracting frequency data having a predetermined feature value from the extracted frequency features; and
determining from the extracted digit movement data whether the multi-axis movement data corresponds to a predetermined motion of a digit.
12. The method of claim 11 , wherein extracting frequency data having a predetermined feature value from the extracted frequency features comprises extracting, from the frequency features, a frequency whose predetermined feature value is larger than or equal to a predetermined threshold value.
13. The method of claim 11 , wherein determining whether the multi-axis movement data corresponds to a predetermined motion of a digit comprises comparing the magnitude of the extracted digit movement data to a threshold value.
14. The method of claim 11 , wherein determining whether the multi-axis movement data corresponds to a predetermined motion of a digit comprises determining whether the extracted digit movement data matches a preset pattern.
15. The method of claim 11 , further comprising:
identifying an action corresponding to the predetermined motion of a digit; and
performing the action in response to determining that the multi-axis movement data corresponds to a predetermined motion of a digit.
16. The method of claim 11 , wherein the one or more frequency features include a frequency corresponding to movement of a limb surface.
17. A program product comprising a computer readable storage medium that is not a transitory signal and that stores code executable by a processor, the executable code comprising code to:
measure, at an apparatus, multi-axis movement data corresponding to movement of a user's limb, the movement corresponding to at least one of: translational movement of a sensor and rotational movement of the sensor;
extract one or more frequency features from the multi-axis movement data;
extract digit movement data from the extracted frequency features, wherein extracting digit movement data comprises extracting frequency data having a predetermined feature value from the extracted frequency features;
determine from the extracted digit movement data whether the multi-axis movement data corresponds to a predetermined motion of a digit; and
perform an action corresponding the predetermined motion of a digit, in response to determining that the movement of the limb corresponds to the predetermined motion of a digit.
18. The program product of claim 17 , wherein the limb is an arm and the apparatus is located at a wrist of the user, wherein extracting one or more frequency features from the multi-axis movement data comprises measuring movement of a surface of the wrist.
19. The program product of claim 17 , wherein measuring multi-axis movement data corresponding to movement of a user's limb corresponds to receiving frequency data from an acceleration sensor that detects translational movement, wherein extracting one or more frequency features from the multi-axis movement data comprises extracting a frequency feature from translational acceleration data captured in multiple axes.
20. The program product of claim 17 , wherein measuring multi-axis movement data corresponding to movement of a user's limb corresponds to receiving frequency data from a gyro sensor that detects rotational movement, wherein extracting one or more frequency features from the multi-axis movement data comprises extracting a frequency feature from rotational velocity data captured in multiple axes.