Device identification and monitoring system and method
A method and system for collecting and recognizing information from a monitoring device is provided. On a mobile computer device a user can capture an image of a monitoring device. The image captures at least two aspects: (1) monitored data tracked or acquired by the monitoring device, and (2) a portion of the monitoring device sufficient to recognize the monitoring device. Recognition functions are provided for: (1) recognizing and converting the monitored data visible in the captured image into quantifiable data, and (2) for recognizing the monitoring device. A note taking function can be provided to allow a user to create notes. The notes can be enriched with the quantifiable data and/or the recognized monitoring device (or vice versa). A suggestion function can be provided for suggesting services where the quantifiable data, the recognized monitoring device, and/or the notes can be bound.
1. A method for collecting and recognizing information from a monitoring device, comprising:
on a mobile computer device capturing an image of the monitoring device, wherein the image comprises at least: (i) monitored data tracked or acquired by the monitoring device, and (ii) a portion of the monitoring device sufficient to recognize the monitoring device;
the mobile computer device automatically creating a note of the captured image on the mobile computer device, wherein the created note is stored;
recognizing and converting the monitored data visible in the captured image into quantifiable numeric data and enriching the created note with the quantifiable numeric data;
recognizing the monitoring device data and enriching the created note with the monitoring device data;
enriching the created note by automatically associating the created note with one or more context traits, wherein the one or more context traits are automatically obtained by sensors of the mobile computer device; and
visualizing on the mobile computing device the quantifiable numeric data of the created note.
2. The method as set forth in claim 1 , wherein the note further comprises text, audio media, visual media, audio-visual media, recorded data, a weblink, a pointer to an information source, or any combination thereof.
3. The method as set forth in claim 1 , wherein the monitoring device is a health monitoring device, a sport device, a training device or a medical device.
4. The method as set forth in claim 1 , wherein the recognizing the monitoring device is recognizing in terms of type, kind, brand, model, or a combination thereof.
5. The method as set forth in claim 1 , wherein the one or more context traits comprises a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the monitoring device or the mobile computer device, derived data, or any combination thereof.
6. The method as set forth in claim 1 , further comprising suggesting one or more of services where the created note, the quantifiable numeric data, the recognized monitoring device, or one or more categories can be bound.
7. The method as set forth in claim 6 , further comprising automatically binding the created note, the quantifiable numeric data, the recognized monitoring device, or one or more categories to one of the suggested services.
8. The method as set forth in claim 1 , wherein the monitoring device recognition function uses a library of information related to monitoring devices for recognizing the imaged monitoring device.
9. The method as set forth in claim 1 , further comprising categorizing with one or more categories: (i) the created note, (ii) the quantifiable numeric data, (iii) the recognized monitoring device, (iv) the context traits, or (v) a combination thereof.
10. A system for collecting and recognizing information from a monitoring device, comprising:
on a mobile computer device capturing an image of the monitoring device, wherein the image comprises at least: (i) monitored data tracked or acquired by the monitoring device, and (ii) a portion of the monitoring device sufficient to recognize the monitoring device;
the mobile computer device automatically creating a note of the captured image on the mobile computer device, wherein the created note is stored;
recognizing and converting the monitored data visible in the captured image into quantifiable numeric data and enriching the created note with the quantifiable numeric data;
recognizing the monitoring device data and enriching the created note with the monitoring device data;
enriching the created note by automatically associating the created note with one or more context traits, wherein the one or more context traits are automatically obtained by sensors of the mobile computer device; and
visualizing on the mobile computing device the quantifiable numeric data of the created note.
11. The system as set forth in claim 10 , wherein the note further comprises text, audio media, visual media, audio-visual media, recorded data, a weblink, a pointer to an information source, or any combination thereof.
12. The system as set forth in claim 10 , wherein the monitoring device is a health monitoring device, a sport device, a training device or a medical device.
13. The system as set forth in claim 10 , wherein the recognizing the monitoring device is recognizing in terms of type, kind, brand, model, or a combination thereof.
14. The system as set forth in claim 10 , wherein the one or more context traits comprises a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the monitoring device or the mobile computer device, derived data, or any combination thereof.
15. The system as set forth in claim 10 , further comprising suggesting one or more of services where the created note, the quantifiable numeric data, the recognized monitoring device, or one or more categories can be bound.
16. The system as set forth in claim 15 , further comprising automatically binding the created note, the quantifiable numeric data, the recognized monitoring device, or one or more categories to one of the suggested services.
17. The system as set forth in claim 10 , wherein the monitoring device recognition function uses a library of information related to monitoring devices for recognizing the imaged monitoring device.
18. The method as set forth in claim 10 , further comprising categorizing with one or more categories: (i) the created note, (ii) the quantifiable numeric data, (iii) the recognized monitoring device, (iv) the context traits, or (v) a combination thereof.
19. A non-transitory computer-readable storage medium having instructions for causing a mobile computer device to execute a method for collecting and recognizing information from a monitoring device, comprising:
on the mobile computer device capturing an image of the monitoring device, wherein the image comprises at least: (i) monitored data tracked or acquired by the monitoring device, and (ii) a portion of the monitoring device sufficient to recognize the monitoring device;
the mobile computer device automatically creating a note of the captured image on the mobile computer device, wherein the created note is stored;
recognizing and converting the monitored data visible in the captured image into quantifiable numeric data and enriching the created note with the quantifiable numeric data;
recognizing the monitoring device data and enriching the created note with the monitoring device data;
enriching the created note by automatically associating the created note with one or more context traits, wherein the one or more context traits are automatically obtained by sensors of the mobile computer device; and
visualizing on the mobile computing device the quantifiable numeric data of the created note.
20. The non-transitory computer-readable storage medium as set forth in claim 19 , wherein the note further comprises text, audio media, visual media, audio-visual media, recorded data, a weblink, a pointer to an information source, or any combination thereof.
21. The non-transitory computer-readable storage medium as set forth in claim 19 , wherein the monitoring device is a health monitoring device, a sport device, a training device or a medical device.
22. The non-transitory computer-readable storage medium as set forth in claim 19 , wherein the recognizing the monitoring device is recognizing in terms of type, kind, brand, model, or a combination thereof.
23. The non-transitory computer-readable storage medium as set forth in claim 19 , wherein the one or more context traits comprises a location, a place, a time, a source, a related note, a person, people, a group, a tag, an identity, sensor data, a media file, an audio file, physical data relating to the monitoring device or the mobile computer device, derived data, or any combination thereof.
24. The non-transitory computer-readable storage medium as set forth in claim 19 , further comprising suggesting one or more of services where the created note, the quantifiable numeric data, the recognized monitoring device, or one or more categories can be bound.
25. The non-transitory computer-readable storage medium as set forth in claim 24 , further comprising automatically binding the created note, the quantifiable numeric data, the recognized monitoring device, or one or more categories to one of the suggested services.
26. The non-transitory computer-readable storage medium as set forth in claim 19 , wherein the monitoring device recognition flinction uses a library of information related to monitoring devices for recognizing the imaged monitoring device.
27. The non-transitory computer-readable storage medium as set forth in claim 19 , further comprising categorizing with one or more categories: (i) the created note, (ii) the quantifiable numeric data, (iii) the recognized monitoring device, (iv) the context traits, or (v) a combination thereof.