Delegating processing from wearable electronic device

• US 10,423,214 B2
• Filed: 08/30/2013
• Issued: 09/24/2019
• Est. Priority Date: 11/20/2012
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Mistry, Pranav, Sadi, Sajid
• Primary Examiner(s): Patel, Hiren P
• Application Number:
  US14/015,940
• Publication Number:
  US 20140143785A1
• Time in Patent Office: 2,216 Days
• Field of Search: None
• CPC Class Codes: G06F 1/163 Wearable computers, e.g. on a belt
• CPC Class Codes: G06F 1/329 by task scheduling
• CPC Class Codes: G06F 2209/509 Offload
• CPC Class Codes: G06F 9/5044 considering hardware capabilities
• CPC Class Codes: G06F 9/5094 where the allocation takes into account power or heat criteria power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

In one embodiment, an apparatus includes a wearable computing device including one or more processors and a memory. The memory is coupled to the processors and includes instructions executable by the processors. When executing the instructions, the processors analyze a task of an application; analyze one or more characteristics of the wearable computing device; determine to delegate the task based on the analysis of the task and the analysis of the characteristics; delegate the task to be processed by one or more computing devices separate from the wearable computing device; and receive from the computing devices results from processing the delegated task.

Claims

1. An apparatus comprising:

a wearable computing device comprising one or more processors and a memory;

wherein the memory is coupled to the one or more processors and comprises instructions executable by the one or more processors, wherein the one or more processors are operable when executing the instructions to;

analyze a task of an application, wherein the wearable computing device is capable of performing the task;

analyze one or more past delegations made by a user of the wearable computing device, wherein the past delegations were made for previous tasks capable of being performed by the wearable computing device;

determine to delegate the task based on;

the analysis of the task; and

a frequency with which the user has previously delegated the previous tasks;

delegate the task to be processed by one or more computing devices separate from the wearable computing device; and

receive from the one or more computing devices results from processing the delegated task.

2. The apparatus of claim 1, wherein the wearable computing device comprises:

a device body comprising;

one or more of the one or more processors;

the memory;

a display;

a rotatable element about the display; and

a detector configured to detect rotation of the rotatable element;

a band coupled to the device body; and

an optical sensor in or on the band.

3. The apparatus of claim 1, wherein the application is running on the wearable computing device.

4. The apparatus of claim 1, the one or more processors being further operable when executing the instructions to:

receive input from a user of the wearable computing device to interact with another application; and

automatically delegate the task to be processed by the one or more computing devices.

5. The apparatus of claim 1, wherein the one or more computing devices comprise:

a local computing device paired with the wearable computing device; and

one or more remote computing devices available to the wearable computing device via a network-based service.

6. The apparatus of claim 5, wherein the local computing device is paired with the wearable computing device using one or more of the following:

a BLUETOOTH connection between the local computing device and the wearable computing device;

a near-field communication (NFC) connection between the local computing device and the wearable computing device;

or

a WI-FI connection between the local computing device and the wearable computing device.

7. The apparatus of claim 1, wherein the analysis of the task comprises analyzing one or more of the following:

a latency sensitivity of the task;

a processing requirement of the task;

or

a network payload size of data associated with the task.

8. The apparatus of claim 1, the one or more processors being further operable when executing the instructions to:

analyze one or more characteristics of the wearable computing device, wherein the one or more characteristics of the wearable computing device comprise one or more of the following;

available memory;

CPU capacity;

available energy;

network connectivity;

availability of network-based services;

past behavior of a user of the wearable computing device;

or

predicted processing time of the task,

wherein the determination to delegate the task is further based on the analysis of the one or more characteristics.

9. The apparatus of claim 1, the one or more processors being further operable when executing the instructions to:

determine not to delegate the task when;

the wearable computing device does not have network connectivity;

or

no computing devices are in a pairable range of the wearable computing device.

27. The apparatus of claim 1, wherein the determination to delegate the task based on the frequency with which the user has previously delegated previous tasks comprises a determination to delegate the task based on a determination that the task is typically delegated by the user.

28. The apparatus of claim 1, wherein the determination to delegate the task based on the frequency with which the user has previously delegated previous tasks comprises a determination to delegate the task based on a determination that the task is delegated by the user in a majority of instances.

10. A method comprising:

analyzing a task of an application, wherein the wearable computing device is capable of performing the task;

analyzing one or more past delegations made by a user of the wearable computing device, wherein the past delegations were made for previous tasks capable of being performed by the wearable computing device;

by the wearable computing device, determining to delegate the task based on;

the analysis of the tasks; and

a frequency with which the user has previously delegated the previous tasks;

delegating the task to be processed by one or more computing devices separate from the wearable computing device; and

receiving from the one or more computing devices results from processing the delegated task.

11. The method of claim 10, wherein the wearable computing device comprises:

a device body comprising;

one or more processors;

a memory;

a display;

a rotatable element about the display; and

a detector configured to detect rotation of the rotatable element;

a band coupled to the device body; and

an optical sensor in or on the band.

12. The method of claim 10, wherein the application is running on the wearable computing device.

13. The method of claim 10, further comprising:

receiving input from a user of the wearable computing device to interact with another application; and

automatically delegating the task to be processed by the one or more computing devices.

14. The method of claim 10, wherein the one or more computing devices comprise:

a local computing device paired with the wearable computing device; and

one or more remote computing devices available to the wearable computing device via a network-based service.

15. The method of claim 14, wherein the local computing device is paired with the wearable computing device using one or more of the following:

a BLUETOOTH connection between the local computing device and the wearable computing device;

a near-field communication (NFC) connection between the local computing device and the wearable computing device;

or

a WI-FI connection between the local computing device and the wearable computing device.

16. The method of claim 10, wherein the analysis of the task comprises analyzing one or more of the following:

a latency sensitivity of the task;

a processing requirement of the task;

or

a network payload size of data associated with the task.

17. The method of claim 10, further comprising:

analyzing one or more characteristics of the wearable computing device, wherein the one or more characteristics of the wearable computing device comprise one or more of the following;

available memory;

CPU capacity;

available energy;

network connectivity;

availability of network-based services;

past behavior of a user of the wearable computing device;

or

predicted processing time of the task,

wherein the determination to delegate the task is further based on the analysis of the one or more characteristics.

18. The method of claim 10, further comprising:

by the wearable computing device, determining not to delegate the task when;

the wearable computing device does not have network connectivity;

or

no other computing devices are in a pairable range of the wearable computing device.

19. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

analyze a task of an application, wherein the wearable computing device is capable of performing the task;

analyze one or more past delegations made by a user of the wearable computing device, wherein the past delegations were made for previous tasks capable of being performed by the wearable computing device;

determine to delegate the task based on;

the analysis of the task; and

a frequency with which the user has previously delegated the previous tasks;

delegate the task to be processed by one or more computing devices separate from the wearable computing device; and

receive from the one or more computing devices results from processing the delegated task.

20. The media of claim 19, wherein the wearable computing device comprises:

a device body comprising;

one or more processors;

a memory;

a display;

a rotatable element about the display; and

a detector configured to detect rotation of the rotatable element;

a band coupled to the device body; and

an optical sensor in or on the band.

21. The media of claim 19, wherein the application is running on the wearable computing device.

22. The media of claim 19, the software being further operable when executed to:

receive input from a user of the wearable computing device to interact with another application; and

automatically delegate the task to be processed by the one or more computing devices.

23. The media of claim 19, wherein the one or more computing devices comprise:

a local computing device paired with the wearable computing device; and

one or more remote computing devices available to the wearable computing device via a network-based service.

24. The media of claim 19, wherein the analysis of the task comprises analyzing one or more of the following:

a latency sensitivity of the task;

a processing requirement of the task;

or

a network payload size of data associated with the task.

25. The media of claim 19, the software being further operable when executed to:

analyze one or more characteristics of the wearable computing device, wherein the one or more characteristics of the wearable computing device comprise one or more of the following;

available memory;

CPU capacity;

available energy;

network connectivity;

availability of network-based services;

past behavior of a user of the wearable computing device;

or

predicted processing time of the task,

wherein the determination to delegate the task is further based on the analysis of the one or more characteristics.

26. The media of claim 19 the software being further operable when executed to:

determine not to delegate the task when;

the wearable computing device does not have network connectivity;

or

no other computing devices are in a pairable range of the wearable computing device.