COLLISION DETECTING METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT THEREOF

• US 20120136619A1
• Filed: 12/06/2010
• Published: 05/31/2012
• Est. Priority Date: 11/25/2010
• Status: Abandoned Application

• Current Assignee: Institute For Information Industry
• Original Assignee: Institute For Information Industry
• Inventors: Huang, Chung-Ming, Lin, Shih-Yang, Chu, Yi-Hong, Tu, Lai, Lin, Cheng-Jung, Lee, Ming-Da
• Application Number:
  US12/960,562
• Publication Number:
  US 20120136619A1
• Time in Patent Office: Days
• US Class Current: 702/141
• CPC Class Codes: B60R 2021/01322 comprising variable thresholds, e.g. depending from other collision parameters
• CPC Class Codes: B60R 21/0132 responsive to vehicle motion parameters , e.g. to vehicle longitudinal or transversal deceleration or speed value
• CPC Class Codes: B60R 21/01332 by frequency or waveform analysis
• CPC Class Codes: B60R 21/01338 using vector analysis

Abstract

A collision detecting method, an electronic device, and a computer program product thereof are provided for the electronic device having an accelerometer, a positioning module, and a communication module. The method includes obtaining a plurality of acceleration variations within each of a plurality of sampling intervals respectively detected by the accelerometer. The method also includes transforming the corresponding acceleration variations into a plurality of frequency domain signals for each sampling interval, and calculating energy and entropy of the frequency domain signals. The method further includes determining a collision has occurred if the energy and the entropy corresponding to each of a plurality of specific sampling intervals among the sampling intervals both drastically increase then drastically decrease suddenly.

Claims

1. A collision detecting method, adapted to an electronic device having an accelerometer, a positioning module, and a communication module, and the collision detecting method comprising:

obtaining a plurality of acceleration variations within each of a plurality of sampling intervals respectively detected by the accelerometer;

for each of the sampling intervals, transforming the corresponding acceleration variations into a plurality of frequency domain signals under a frequency domain and calculating energy and entropy of the frequency domain signals; and

determining a collision has occurred when the energy and the entropy corresponding to each of a plurality of specific sampling intervals among the sampling intervals both drastically increase then drastically decrease suddenly.

2. The collision detecting method as claimed in claim 1, further comprising:

determining whether a number of the sampling intervals is greater than or equal to 3;

taking latest three adjacent sampling intervals among the sampling intervals as the specific sampling intervals when the number of the sampling intervals is greater than or equal to 3; and

determining whether the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly.

3. The collision detecting method as claimed in claim 2, wherein the latest three adjacent sampling intervals are respectively an (i−

1)^th sampling interval, an i^th sampling interval and an (i+1)^th sampling interval, and i is a positive integer greater than 1, and the step of determining whether the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly comprises;

calculating a first statistic value according to the energy corresponding to the (i−

1)^th sampling interval and the energy corresponding to the (i+1)^th sampling interval;

calculating a second statistic value according to the entropy corresponding to the (i−

1)^th sampling interval and the entropy corresponding to the (i+1)^th sampling interval;

determining whether the energy corresponding to the i^th sampling interval is greater than a first threshold, and whether the entropy corresponding to the i^th sampling interval is greater than a second threshold; and

if yes, determining the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly if the energy corresponding to the i^th sampling interval is greater than the first statistic value, the entropy corresponding to the i^th sampling interval is greater than the second statistic, and an increasing rate between the entropy corresponding to the i^th sampling interval and the entropy corresponding to the (i−

1)^th sampling interval is greater than a third threshold.

4. The collision detecting method as claimed in claim 1, wherein the step of transforming the corresponding acceleration variations into the frequency domain signals under the frequency domain for each of the sampling intervals comprises:

executing a time domain/frequency domain transform process to the acceleration variations to generate the frequency domain signals.

5. The collision detecting method as claimed in claim 4, wherein the time domain/frequency domain transform process comprises one of a Fourier transform process, a cosine transform process, a sine transform process and a wavelet transform process.

6. The collision detecting method as claimed in claim 1, wherein the adjacent sampling intervals among the sampling intervals are partially overlapped.

7. The collision detecting method as claimed in claim 1, wherein after the step of determining the collision has occurred, the collision detecting method further comprises:

obtaining position information of the electronic device through the positioning module; and

sending a message carrying the position information through the communication module.

8. An electronic device, comprising:

an accelerometer;

a positioning module;

a communication module; and

a processing module, coupled to the accelerometer, the positioning module and the communication module, for obtaining a plurality of acceleration variations within each of a plurality of sampling intervals respectively detected by the accelerometer, for each of the sampling intervals, transforming the corresponding acceleration variations into a plurality of frequency domain signals under a frequency domain and calculating energy and entropy of the frequency domain signals, and determining that a collision has occurred when the energy and the entropy corresponding to each of a plurality of specific sampling intervals among the sampling intervals both drastically increase then drastically decrease suddenly.

9. The electronic device as claimed in claim 8, wherein the processing module determines whether a number of the sampling intervals is greater than or equal to 3, takes latest three adjacent sampling intervals among the sampling intervals as the specific sampling intervals when the number of the sampling intervals is greater than or equal to 3, and determines whether the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly.

10. The electronic device as claimed in claim 9, wherein the latest three adjacent sampling intervals are respectively an (i−

1)^th sampling interval, an i^th sampling interval and an (i+1)^th sampling interval, and i is a positive integer greater than 1, the processing module calculates a first statistic value according to the energy corresponding to the (i−

1)^th sampling interval and the energy corresponding to the (i+1)^th sampling interval, calculates a second statistic value according to the entropy corresponding to the (i−

1)^th sampling interval and the entropy corresponding to the (i+1)^th sampling interval, and determines whether the energy corresponding to the i^th sampling interval is greater than a first threshold, and whether the entropy corresponding to the i^th sampling interval is greater than a second threshold,

if yes, the processing module determines the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly if the energy corresponding to the i^th sampling interval is greater than the first statistic value, the entropy corresponding to the i^th sampling interval is greater than the second statistic value, and an increasing rate between the entropy corresponding to the i^th sampling interval and the entropy corresponding to the (i−

1)^th sampling interval is greater than a third threshold.

11. The electronic device as claimed in claim 8, wherein the processing module executes a time domain/frequency domain transform process to the corresponding acceleration variations to generate the frequency domain signals for each of the sampling intervals.

12. The electronic device as claimed in claim 11, wherein the time domain/frequency domain transform process comprises one of a Fourier transform process, a cosine transform process, a sine transform process and a wavelet transform process.

13. The electronic device as claimed in claim 8, wherein the adjacent sampling intervals among the sampling intervals are partially overlapped.

14. The electronic device as claimed in claim 8, wherein after the processing module determines that the collision has occurred, the processing module controls the positioning module to obtain position information of the electronic device, and controls the communication module to send a message carrying the position information.

15. A computer program product, comprising at least one program instruction, the at least one program instruction being located into an electronic device having an accelerometer, a positioning module, and a communication module for executing following steps:

obtaining a plurality of acceleration variations within each of a plurality of sampling intervals respectively detected by the accelerometer;

for each of the sampling intervals, transforming the corresponding acceleration variations into a plurality of frequency domain signals under a frequency domain and calculating energy and entropy of the frequency domain signals; and

determining a collision has occurred when the energy and the entropy corresponding to each of a plurality of specific sampling intervals among the sampling intervals both drastically increase then drastically decrease suddenly.

16. The computer program product as claimed in claim 15, wherein the at least one program instruction further determines whether a number of the sampling intervals is greater than or equal to 3, takes latest three adjacent sampling intervals among the sampling intervals as the specific sampling intervals when the number of the sampling intervals is greater than or equal to 3, and determines whether the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly.

17. The computer program product as claimed in claim 16, wherein the latest three adjacent sampling intervals are respectively an (i−

1)^th sampling interval, an i^th sampling interval and an (i+1)^th sampling interval, and i is a positive integer greater than 1, the at least one program instruction calculates a first statistic value according to the energy corresponding to the (i−

1)^th sampling interval and the energy corresponding to the (i+1)^th sampling interval, calculates a second statistic value according to the entropy corresponding to the (i−

1)^th sampling interval and the entropy corresponding to the (i+1)^th sampling interval, determines whether the energy corresponding to the i^th sampling interval is greater than a first threshold, and whether the entropy corresponding to the i^th sampling interval is greater than a second threshold; and

if yes, the at least one program instruction determines the energy and the entropy corresponding to each of the specific sampling intervals both drastically increase then drastically decrease suddenly if the energy corresponding to the i^th sampling interval is greater than the first statistic value, the entropy corresponding to the i^th sampling interval is greater than the second statistic value, and an increasing rate between the entropy corresponding to the i^th sampling interval and the entropy corresponding to the (i−

1)^th sampling interval is greater than a third threshold.

18. The computer program product as claimed in claim 15, wherein the at least one program instruction executes a time domain/frequency domain transform process to the acceleration variations to generate the frequency domain signals.

19. The computer program product as claimed in claim 18, wherein the time domain/frequency domain transform process comprises one of a Fourier transform process, a cosine transform process, a sine transform process and a wavelet transform process.

20. The computer program product as claimed in claim 15, wherein the adjacent sampling intervals among the sampling intervals are partially overlapped.

21. The computer program product as claimed in claim 15, wherein after the at least one program instruction determines that the collision has occurred, the at least one program instruction further obtains position information of the electronic device through the positioning module, and sends a message carrying the position information through the communication module.