1. A stator comprising:
a yoke part formed to be annular;
a plurality of tooth parts protruding from the yoke part in an inward direction perpendicular to an axial direction of a rotor when the rotor is arranged in the yoke part; and
a protecting member attached to both end surfaces of one of the tooth parts in the axial direction to protect a corner of one of the tooth parts, the protecting member having a length in a slot between the tooth parts, shorter than a half of an entire length of the tooth parts in the axial direction.
2. The stator according to claim 1, wherein the protecting member is located only outer side of the tooth parts in the axial direction.
3. The stator according to claim 1, wherein the protecting member is formed to have U-shape bridging both slots adjacent to the tooth part, and end portions of the protecting member are located in the slots respectively.
4. The stator according to claim 1, wherein the yoke part and the tooth parts are formed by stacking a plurality of steel plates.
5. A protecting member for a stator, being attached to the stator including a yoke part formed to be annular, and including a plurality of tooth parts protruding from the yoke part in an inward direction perpendicular to an axial direction of a rotor when the rotor is arranged in the yoke part,
the protecting member being attached to both end surfaces of one of the tooth parts in the axial direction to protect a corner of one of the tooth parts, the protecting member having a length in a slot between the tooth parts, shorter than a half of an entire length of the tooth parts in the axial direction.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A computer-implemented method for locating a fingertip of a user, comprising:
capturing an image using at least one camera of a computing device;
determining, from the captured image, a location of at least a first portion of a finger of a user;
detecting, using at least one sensor of the computing device, a location of at least a second portion of the finger, with respect to the computing device, when the second portion is outside a field of view of the at least one camera; and
analyzing the first location and the second location to determine a relative location of a fingertip of the finger.
2. The computer-implemented method of claim 1, wherein the device sensor includes at least one of an electromagnetic field sensor, a capacitive sensor, or an ultrasonic sensor.
3. The computer-implemented method of claim 1, wherein analyzing the locations of at least the first portion and the second portion to determine the relative location of the fingertip includes inputting the locations to a digital model of the finger.
4. The computer-implemented method of claim 1, wherein analyzing the locations of at least the first portion and the second portion to determine the relative location of the fingertip includes using at least one prior relative fingertip location identified in at least one previously captured image before the second portion of the finger moved outside the field of view.
5. The computer-implemented method of claim 1, further comprising:
tracking a movement of the finger over time and using the locations of at least the first portion and the second portion to update the relative location of the fingertip based at least in part upon the movement of the finger.
6. A computer-implemented method, comprising:
capturing an image using at least one camera of a computing device, the image including a representation of at least a portion of a hand of a user;
analyzing, using at least one processor of the computing device, the image to determine a location of at least one reference point on the hand of the user with respect to the computing device when a fingertip of a finger of the hand is not represented in the image;
calculating a position of the fingertip based at least in part upon the at least one reference point; and
providing input to an application executing on the computing device based at least in part upon the position of the fingertip of the finger with respect to the computing device.
7. The computer-implemented method of claim 6, further comprising:
detecting a second portion of the finger using at least one sensor of the computing device,
wherein calculating the position of the fingertip with respect to the computing device is further based at least in part upon the second portion.
8. The computer-implemented method of claim 7, wherein the device sensor includes at least one of an electromagnetic field sensor, a capacitive sensor, or an ultrasonic sensor.
9. The computer-implemented method of claim 6, wherein positions of multiple fingertips are concurrently calculated, and wherein input is provided based at least in part upon the positions of the multiple fingertips.
10. The computer-implemented method of claim 6, wherein the image includes at least one of still image information, stereoscopic image information, infrared image information, or video information.
11. The computer-implemented method of claim 6, wherein calculating the position of the fingertip with respect to the computing device based at least in part upon the at least one reference point includes providing the at least one reference point to a digital model of the finger that is personalized for the user.
12. The computer-implemented method of claim 6, wherein calculating the position of the fingertip with respect to the computing device based at least in part upon the at least one reference point includes using at least one previous fingertip position identified from at least one previously-captured image.
13. The computer-implemented method of claim 6, further comprising:
tracking a movement of the finger over time and using the at least one reference point to update the position of the fingertip based at least in part upon the movement of the finger.
14. The computer-implemented method of claim 6, wherein calculating the position of the fingertip with respect to the computing device is further based at least in part upon physical limitations of the finger of the user.
15. The computer-implemented method of claim 6, wherein calculating the position of the fingertip with respect to the computing device is further based at least in part upon machine learning with respect to previous selections made by the user based on previous fingertip locations.
16. A computing device, comprising:
a processor;
at least one camera; and
a memory device including instructions that, when executed by the processor, cause the computing device to:
capture one or more images using the at least one camera, the one or more image information including a representation of at least a portion of a hand of a user;
analyze the one or more images to determine a location of at least one portion of the hand of the user with respect to the computing device when a fingertip of the user is not visible in the one or more images; and
calculate a location of the fingertip with respect to the computing device, based at least in part upon the at least one portion.
17. The computing device of claim 16, further comprising:
at least one sensor configured to detect a second portion of the finger,
wherein the location of the fingertip with respect to the computing device is further based at least in part upon the second portion.
18. The computing device of claim 17, wherein the sensor includes at least one of an electromagnetic field sensor, a capacitive sensor, or an ultrasonic sensor.
19. The computing device of claim 16, wherein the one or more images includes at least one of still image information, stereoscopic image information, infrared image information, or video information.
20. The computing device of claim 16, wherein calculating the location of the fingertip with respect to the computing device based at least in part upon the at least one portion includes providing the at least one portion to a digital model of the finger.
21. A non-transitory computer-readable storage medium including instructions that, when executed by a processor of a computing device, cause the computing device to:
capture an image using at least one camera of a computing device, the image including a representation of at least a portion of a hand of a user;
analyze, using at least one processor of the computing device, the image to determine a location of at least one reference point on the hand of the user with respect to the computing device when a fingertip of the user is not visible in the image;
calculate a position of the fingertip with respect to the computing device, based at least in part upon the at least one reference point; and
provide input to an application executing on the computing device based at least in part upon the position of the fingertip with respect to the computing device.
22. The non-transitory computer-readable storage medium of claim 21, wherein the instructions when executed further cause the computing system to:
detect a second point on the finger using at least one sensor of the computing device,
wherein calculating the position of the fingertip with respect to the computing device is further based at least in part upon the second point, and
wherein the device sensor includes at least one of an electromagnetic field sensor, a capacitive sensor, or an ultrasonic sensor.
23. The non-transitory computer-readable storage medium of claim 21, wherein positions of multiple fingertips are capable of being concurrently calculated, and wherein input is able to be provided based at least in part upon the positions of the multiple fingertips.
24. The non-transitory computer-readable storage medium of claim 21, wherein calculating the position of the fingertip with respect to the computing device is further based at least in part upon physical limitations of the finger of the user.