Terminal device

• US 9,819,564 B2
• Filed: 04/09/2014
• Issued: 11/14/2017
• Est. Priority Date: 04/11/2013
• Status: Active Grant

• Current Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Original Assignee: Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• Inventors: Zhang, Gong, Cao, Guoxiang
• Primary Examiner(s): Prifti, Aurel
• Application Number:
  US14/249,035
• Publication Number:
  US 20140310407A1
• Time in Patent Office: 1,315 Days
• Field of Search: 718102, 718 1, 713300, 713320, 702187, 702127, 700 12, 382133, 1 1
• CPC Class Codes: G06F 11/3096 wherein the means or processing minimize the use of computing system or of computing system component resources, e.g. non-intrusive monitoring which minimizes the probe effect: sniffing, intercepting, indirectly deriving the monitored data from other directly available data
• CPC Class Codes: G06Q 10/1091 Recording time for administrative or management purposes
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04M 2250/10 including a GPS signal receiver
• CPC Class Codes: H04M 2250/12 including a sensor for measuring a physical value, e.g. temperature or motion telephones including GPS signal receivers H04M2250/10
• CPC Class Codes: H04W 52/0274 by switching on or off the equipment or parts thereof
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

The present invention provide a terminal device, including: at least one sensor, a data processing unit, a memory, a CPU, and a storage, where the sensor is configured to sense a corresponding measured object and generate corresponding sensing data; and the data processing unit is configured to collect the sensing data jointly with the CPU in a mutually complementary manner, store the collected sensing data in the memory, perform feature extraction on the sensing data stored in the memory, and store extracted feature data in the storage, where the mutually complementary manner refers to that, when one of the data processing unit and the CPU is in a working state, the other is in a dormant state. The terminal device provided by the embodiments of the present invention can improve a utilization rate of the CPU.

Claims

1. A terminal device comprising:

a central processing unit (CPU) and a memory;

at least one sensor configured to sense a measured object and generate sensing data, a chip of which has a data processing capability that is far less than a data processing capability of the CPU, and a storage;

the chip is configured to

(a) collect, jointly with the CPU in a mutually complementary manner, the sensing data generated by the at least one sensor,

(b) store the collected sensing data in the memory,

(c) perform feature extraction on the sensing data stored in the memory by

i. determining a s component using x, y, and z spatial components by the following equation;

s=Math·

Sqrt (x*x+y*y+z*z), wherein Math·

Sqrt is a function for computing a square root;

ii. determining eight features for each of the x, y and z components and the component s to obtain 32 features, wherein the eight features are (1) a mean value, (2) a variance, (3) a mean absolute value, (4) energy=Σ

Math·

pow(x,

     2)/n, where n is a number of pieces of sensing data collected within an extraction period, (5) a maximum value, (6) a minimum value, (7) a fast Fourier transformation (FFT) mean value, which is a mean value after FFT is performed on the sensing data, and (8) an FFT weighted mean that is a weighted mean value after the FFT is performed on the sensing data and the weighted values are 1/n, 2/n, . . . , i/n, . . . and n/n; and

(d) store extracted feature data in the storage,

wherein the mutually complementary manner refers to that, when one of the chip and the CPU is in a working state, the other is in a dormant state, and a state of the chip is restricted by a state of the CPU; and

the storage is configured to store the feature data extracted by the chip.

2. The terminal device according to claim 1, wherein, to store extracted feature data in the storage, the chip is configured to store the extracted feature data in the storage using a second input/output (I/O) channel, wherein the second I/O channel is independent of a first I/O channel that is used by the CPU to access the storage.

3. The terminal device according to claim 1, wherein the chip is configured to store the extracted feature data in the storage according to a preset storage directory.

4. The terminal device according to claim 3, wherein the chip is configured to generate a collection policy and control information corresponding to the collection policy and to collect, when the CPU is in the dormant state, the sensing data that is generated by the at least one sensor according to the control information.

5. The terminal device according to claim 4, wherein the collection policy is a periodic collection policy, and the control information is a periodic collection control instruction;

to collect the sensing data, the chip is configured to;

when the CPU is in the dormant state, periodically collect, according to the periodic collection control instruction, the sensing data that is generated by the at least one sensor.

6. The terminal device according to claim 1, wherein, to perform feature extraction on the sensing data stored in the memory, the chip is configured to perform the feature extraction, according to a preset extraction period, on the sensing data stored within the extraction period in the memory.

7. The terminal device according to claim 5, wherein the chip is further configured to:

when the collection policy is the periodic collection policy, obtain the sensing data that is collected within a preset adjustment time, adjust a sampling period corresponding to the periodic collection policy according to the obtained sensing data to obtain an adjusted sampling period, and continues to collect, according to the adjusted sampling period, the sensing data that is generated by the at least one sensor.

8. The terminal device according to claim 5, wherein, to collect the sensing data, the chip is configured to:

when the collection policy is the periodic collection policy, obtain the sensing data that is collected within the preset adjustment time, calculate a change rate of the sensing data according to the obtained sensing data, adjust the sampling period according to the change rate to obtain an adjusted sampling period, and when a difference between the adjusted sampling period and the sampling period before adjusting is greater than a preset difference threshold, continues to collect, according to the adjusted sampling period, the sensing data that is generated by the at least one sensor.

9. The terminal device according to claim 4, wherein the chip is further configured to:

when it is detected that a preset first-type triggering event occurs, start to collect the sensing data that is generated by the at least one sensor, and when it is detected that a preset second-type triggering event occurs, end collecting the sensing data that is generated by the at least one sensor; and

to collect the sensing data, the chip is configured to;

when the CPU is in the dormant state, start to collect, according to the instruction for starting collection, the sensing data that is generated by the at least one sensor, end collecting, according to the instruction for ending collection, the sensing data that is generated by the at least one sensor, and store the collected sensing data in the memory.

10. The terminal device according to claim 3, wherein, to store extracted feature data in the storage, the chip is configured to store, in the storage according to a two-level directory, the feature data provided by the chip, wherein a first-level directory in the two-level directory is formed by identification information of the terminal device, and a second-level directory in the two-level directory is formed by time information that stores the feature data.

11. The terminal device according to claim 4, wherein the collection policy is a random collection policy, the control information is a random collection control instruction, and the random collection control instruction comprises a random collection function used to determine a random collection time;

to collect the sensing data, the chip is configured to;

when the CPU is in the dormant state, collect, according to the random collection control instruction and at a time point that is determined by the random collection function in the random collection control instruction, the sensing data that is generated by the at least one sensor.

12. The terminal device according to claim 4, wherein the collection policy is a full-day continuous collection policy, and the control information is a continuous collection control instruction;

and

to collect the sensing data, the chip is configured to;

when the CPU is in the dormant state, continuously collect, according to the continuous collection control instruction, the sensing data that is generated by the at least one sensor.

13. The terminal device according to claim 1, wherein the at least one sensor comprises an acceleration sensor and the sensing data comprises the x, y, and z spatial components.

15. The method according to claim 1, wherein, the measured object is experiencing acceleration and the sensing data is acceleration data comprising the x, y and z spatial components.

14. A method comprising:

sensing and collecting, by a chip and a central processing unit (CPU), a measured object and generate sensing data,

storing the collected sensing data in a memory,

extracting, by the chip and the CPU, feature data from the stored sensing data by calculating a s component using x, y, and z spatial components by the following equation;

s=Math·

Sqrt (x*x+y*y+z*z),

wherein Math·

Sqrt is a function for computing a square root;

calculating eight features for each of the x, y and z spatial components and the component s to obtain 32 features, wherein the eight features are (1) a mean value, (2) a variance, (3) a mean absolute value, (4) energy=Σ

Math·

pow(x,

     2)/n, where n is a number of pieces of sensing data collected within an extraction period, (5) a maximum value, (6) a minimum value, (7) a fast Fourier transformation (FFT) mean value, which is a mean value after FFT transformation is performed on the sensing data, and (8) an FFT weighted mean that is a weighted mean value after the FFT transformation is performed on the sensing data and the weighted values are 1/n, 2/n, . . . , i/n, . . . and n/n; and

storing the extracted feature data in the memory.