Systems and methods for smooth remote pose recovery under noisy network conditions
Methods and systems for recovering pose data are provided. The method includes receiving current pose data for a current frame from a data provider, the current pose data including a current data provider timestamp. The method also includes calculating a current latency between the current data provider timestamp and a current data receiver timestamp. The method also includes calculating an expected timestamp for the current frame based on an expected latency between the current frame and a previous frame. The method also includes comparing the expected timestamp with the current data provider timestamp to determine that the pose data was lost. The method also includes recovering the pose data based on the comparing.
1. A computer-implemented method for recovering pose data, comprising:
receiving current pose data for a current frame from a data provider, the current pose data comprising a current data provider timestamp;
calculating a current latency between the current data provider timestamp and a current data receiver timestamp;
calculating an expected timestamp for the current frame based on an expected latency between the current frame and a previous frame;
comparing the expected timestamp with the current data provider timestamp to determine that the pose data was lost; and
recovering the pose data based on the comparing.
2. The computer-implemented method of claim 1 , wherein recovering the pose data comprises:
calculating a predicted pose based on previously determined pose data for the previous frame when the expected timestamp is greater than the current data provider timestamp.
3. The computer-implemented method of claim 1 , wherein recovering the pose data comprises:
calculating a ratio of interpolation based on the current data receiver timestamp, the current data provider timestamp, and a previous timestamp when the expected timestamp is less than the current data provider timestamp.
4. The computer-implemented method of claim 3 , calculating the ratio of interpolation comprises:
calculating a difference between the expected timestamp and the previous timestamp; and
calculating a difference between the current data provider timestamp and the previous timestamp.
5. The computer-implemented method of claim 1 , further comprising:
storing the current pose data, the current data provider timestamp, and the current latency.
6. The computer-implemented method of claim 1 , further comprising:
retrieving the current data receiver timestamp.
7. The computer-implemented method of claim 1 , further comprising:
retrieving previous pose data for the previous frame received from the data provider, the previous pose data comprising a previous timestamp.
8. A system for recovering pose data, comprising:
a memory storing sequences of instructions; and
a processor configured to execute the sequences of instructions which, when executed, causes the processor to perform:
receiving current pose data for a current frame from a data provider, the current pose data comprising a current data provider timestamp;
calculating a current latency between the current data provider timestamp and a current data receiver timestamp;
calculating an expected timestamp for the current frame based on an expected latency between the current frame and a previous frame;
comparing the expected timestamp with the current data provider timestamp to determine that the pose data was lost; and
recovering the pose data based on the comparing.
9. The system of claim 8 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
calculating a predicted pose based on previously determined pose data for the previous frame when the expected timestamp is greater than the current data provider timestamp.
10. The system of claim 8 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
calculating a ratio of interpolation based on the current data receiver timestamp, the current data provider timestamp, and a previous timestamp when the expected timestamp is less than the current data provider timestamp.
11. The system of claim 10 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
calculating a difference between the expected timestamp and the previous timestamp; and
calculating a difference between the current data provider timestamp and the previous timestamp.
12. The system of claim 8 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
storing the current pose data, the current data provider timestamp, and the current latency.
13. The system of claim 8 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
retrieving the current data receiver timestamp.
14. The system of claim 8 , further comprising stored sequences of instructions, which when executed by the processor, cause the processor to perform:
retrieving previous pose data for the previous frame received from the data provider, the previous pose data comprising a previous timestamp.
15. A non-transitory computer readable storage medium is provided including instructions that, when executed by a processor, cause the processor to perform a method for recovering pose data, the method comprising:
receiving current pose data for a current frame from a data provider, the current pose data comprising a current data provider timestamp;
calculating a current latency between the current data provider timestamp and a current data receiver timestamp;
calculating an expected timestamp for the current frame based on an expected latency between the current frame and a previous frame;
comparing the expected timestamp with the current data provider timestamp to determine that the pose data was lost; and
recovering the pose data based on the comparing.
16. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises:
calculating a predicted pose based on previously determined pose data for the previous frame when the expected timestamp is greater than the current data provider timestamp.
17. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises:
calculating a ratio of interpolation based on the current data receiver timestamp, the current data provider timestamp, and a previous timestamp when the expected timestamp is less than the current data provider timestamp.
18. The non-transitory computer readable storage medium of claim 17 , wherein the method further comprises:
calculating a difference between the expected timestamp and the previous timestamp; and
calculating a difference between the current data provider timestamp and the previous timestamp.
19. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises:
storing the current pose data, the current data provider timestamp, and the current latency.
20. The non-transitory computer readable storage medium of claim 15 , wherein the method further comprises:
retrieving previous pose data for the previous frame received from the data provider, the previous pose data comprising a previous timestamp.