System and method for mobile sensing data processing

• US 10,009,708 B2
• Filed: 09/23/2016
• Issued: 06/26/2018
• Est. Priority Date: 03/09/2016
• Status: Active Grant

• Current Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Original Assignee: TATA Consultancy Services Limited (Tata Sons Pvt Ltd.)
• Inventors: Dewangan, Keshaw, Alam, Shahnawaz, Sinharay, Arijit, Ghose, Avik, Pal, Arpan
• Primary Examiner(s): SCOTT, RANDY A
• Application Number:
  US15/274,449
• Publication Number:
  US 20170265020A1
• Time in Patent Office: 641 Days
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04W 4/38 for collecting sensor information

Abstract

A system and a method for mobile sensing data processing are provided. The method includes, receiving one or more requests from one or more applications installed at a client device to obtain a processed sensing data obtained in response to execution of one or more tasks by the application using a set of sensors. Raw data is extracted from the set of sensors in response to the execution of the tasks. A data stream is configured to include sensor data and a task information associated with the tasks. The client device is connected with the server to transmit the data stream. The server outputs the processed sensing data upon processing the data stream and the task information by using one or more task specific models stored at the server. The processed sensing data is received from the server and provided to the applications.

Claims

1. A computer-implemented method 300 for mobile sensing data processing having client devices and a server, the method 300 comprising:

a) receiving, at a hardware including one or more processors and one or more memory devices effecting a client device, one or more requests from one or more applications installed at the client device to obtain processed sensing data obtained in response to execution of one or more tasks by the application at the client device using a set of sensors associated with the client device, wherein the client device comprises a plurality of sensors 302;

b) extracting raw sensor data from the set of sensors in response to the execution of the one or more tasks 304;

c) configuring a data stream comprising the raw sensor data extracted from the set of sensors in a predefined format to obtain serialized data and a task information associated with the one or more tasks 306;

d) connecting the client device with the server to transmit the data stream to the server 308;

wherein the server outputs the processed sensing data upon processing the data stream and the task information by using one or more task-specific models stored at the server 310, and wherein processing the data stream and the task information at the server includes;

de-serializing the serialized data to obtain de-serialized data;

categorizing the de-serialized data based on the one or more task specific models to process the de-serialized data;

replicating the de-serialized data based on the one or more requests and the one or more parameters to be computed in response to the one or more requests;

segmenting the de-serialized data into a plurality of sensor-wise data-pools, the plurality of sensor-wise data-pools capable of handling sequencing of the sensor data based on the corresponding timestamps; and

instantiating the one or more task specific models to process the sensor-wise data pools and the task information, to output the processed sensing data;

e) receiving the processed sensing data from the server 312; and

f) providing the processed sensing data to the one or more applications 314.

2. The method as claimed in claim 1, wherein a request of the one or more requests comprises an intent encapsulating task details associated with the one or more tasks and sensor information in form of a bundle, the task details comprising a task associated with the request and one or more parameters to be computed in response to the request, and the sensor information comprising information associated with the set of sensors adapted to compute the one or more parameters, one or more sensor specific parameters associated with the one or more parameters, and a duration of capture of the raw sensor data from the set of sensors.

3. The method as claimed in claim 1, wherein configuring the data stream comprises:

parsing the bundle to retrieve the task details and the sensor information associated with the one or more requests;

registering, based on the sensor information, the set of sensors to capture the raw sensor data with corresponding time-stamps; and

creating the data stream representing the task details and the raw sensor data captured from the set of sensors.

4. The method as claimed in claim 1, wherein configuring the data stream in the predefined format comprises serializing the raw sensor data into a byte format to obtain the serialized data.

5. The method as claimed in claim 1, wherein processing the processed sensing data at the client device comprises:

parsing the processed sensing data received from the server at the client device;

segregating the processed sensing data based on the one or more requests comprising the intent to obtain segregated processed sensing data; and

transmitting the segregated processed sensing data to the one or more applications.

6. The method as claimed in claim 1, wherein the plurality of sensors are selected from a group comprising:

a camera sensor, an accelerometer, a gyroscope, a proximity sensor, a barometer, a magnetometer, a pedometer, a humidity sensor and a fingerprint sensor.

7. The method as claimed in claim 1, wherein the server is further adapted to store the processed sensing data.

8. A computer-implemented system 200 for mobile sensing data processing, the system 200 comprising:

a client device 202 comprising a hardware including one or more first processors 208 and one or more first memory devices 210, wherein the one or more first processors 208 are capable of executing programmed instructions stored in the one or more first memory devices 210; and

a server 204 comprising a hardware including one or more second processors 240 and one or more second memory devices 222, wherein the one or more second processors 240 are capable of executing programmed instructions stored in the one or more second memory devices 222, wherein the client device 202 is communicably coupled with the server 204, and wherein the programmed instructions stored in the one or more first memory devices 210 are executed to;

receive, at the client device 202 one or more requests from one or more applications installed at the client device 202 to obtain processed sensing data obtained in response to execution of one or more tasks by the application 218 at the client device 202 using a set of sensors associated with the client device, wherein the client device comprises a plurality of sensors 220;

extract raw sensor data from the set of sensors associated with the client device 202, the sensor data received in response to the execution of the one or more tasks;

configure a data stream comprising the raw sensor data extracted from the set of sensors in a predefined format to obtain serialized data and a task information associated with the one or more tasks;

connect the client device 202 with the server 204 to transmit the data stream to the server 204,

wherein the server 204 outputs the processed sensing data upon processing the data stream and the task information by using one or more task-specific models stored at the server 204 wherein to process the data stream and the task information at the server 204, the one or more second processors 240 are further configured by the instructions to;

de-serialize the serialized data to obtain de-serialized data;

categorize the de-serialized data based on the one or more task specific models to process the de-serialized data;

replicate the de-serialized data based on the one or more requests and the one or more parameters to be computed in response to the one or more requests;

segment the de-serialized data into a plurality of sensor-wise data-pools, the plurality of sensor-wise data-pools capable of handling sequencing of the sensor data based on the corresponding timestamps; and

instantiate the one or more task specific models to process the sensor-wise data pools and the task information, to output the processed sensing data;

receive the processed sensing data from the server 204; and

provide the processed sensing data to the one or more applications 218.

9. The system 200 as claimed in claim 8, wherein the one or more first processors 208 are further configured by the instructions to:

parse the bundle to retrieve the task details and the sensor information associated with the one or more requests;

register, based on the sensor information, the set of sensors to capture the raw sensor data with corresponding time-stamps; and

create a data stream representing the task details and the raw sensor data captured from the set of sensors.

10. The system 200 as claimed in claim 9, wherein a request of the one or more requests comprises an intent encapsulating task details associated with the one or more tasks and sensor information in form of a bundle, the task details comprising a task associated with the request and one or more parameters to be computed in response to the request, and the sensor information comprising information associated with the set of sensors adapted to compute the one or more parameters, one or more sensor specific parameters associated with the one or more parameters, and a duration of capture of raw sensor data from the set of sensors.

11. The system 200 as claimed in claim 9, wherein to create the single data stream, the one or more first processors 208 are further configured by the instructions to serialize the raw sensor data into a byte format to obtain the serialized data.

12. The system 200 as claimed in claim 8, wherein to process the processed sensing data, the one or more first processors 208 at the client device are further configured by the instructions to:

parse the processed sensing data received from the server 204 at the client device 202;

segregate, the processed sensing data based on the one or more requests comprising the intent to obtain segregated processed sensing data; and

transmit the segregated processed sensing data to the one or more applications 218.

13. The system 200 as claimed in claim 8, wherein the plurality of sensors 220 are selected from a group comprising:

a camera sensor, an accelerometer, a gyroscope, a proximity sensor, a heart rate monitor, a magnetometer, a pedometer, a humidity sensor and a fingerprint sensor.

14. The system 200 as claimed in claim 8, wherein the server 204 is further adapted to store the processed sensing data.