Collision notification method and collision notification device
Patent Information
- Authority / Receiving Office
- TW · TW
- Patent Type
- Applications
- Current Assignee / Owner
- ASUSTEK COMPUTER INC
- Filing Date
- 2025-01-09
- Publication Date
- 2026-07-16
AI Technical Summary
Modern mobile devices lack feedback mechanisms to assess the risk and severity of physical collisions, requiring users to visually inspect for damage which is inaccurate.
A collision warning method and device utilizing an accelerometer and sound sensor to determine a device's falling state, collect ambient sound data, and calculate collision severity, generating a warning signal based on acceleration and sound data.
Enables users to quickly and accurately assess the severity of collisions, providing timely feedback through visual, audio, or vibration signals.
Smart Images
Figure TWG2TA001067932_001 
Figure TWG2TA001067932_002 
Figure TWG2TA001067932_003
Abstract
Description
Technical Field
[0001] This case relates to the technical field of mobile devices, and in particular to a collision warning method and a collision warning device for mobile devices. Prior Technology
[0002] Modern mobile devices possess some degree of impact and shock resistance. However, current mobile devices on the market do not offer any feedback mechanism for physical collisions. Users cannot accurately assess the risk of an impact.
[0003] Secondly, when a mobile device is involved in a collision, users can only visually inspect the hardware for obvious damage, and cannot accurately judge the severity of the collision. Summary of the Invention
[0004] This invention provides a collision warning method applicable to a mobile device. The mobile device includes an accelerometer, a sound sensor, and a display screen. The accelerometer is adapted to acquire acceleration data corresponding to the mobile device, and the sound sensor is adapted to acquire ambient sound data. This collision warning method includes the following steps: First, based on the acceleration data, it is determined whether the mobile device is in a falling state. After confirming that the mobile device is in a falling state, ambient sound data collection begins. Then, based on the acceleration data, it is determined whether the mobile device has experienced a collision. After confirming that the mobile device has experienced a collision, a preset time is calculated, and after this preset time has elapsed, ambient sound data collection stops. Next, based on the acceleration data and the collected ambient sound data, the severity of the collision is determined. Subsequently, a warning signal is generated based on the severity of the collision.
[0005] This application also provides a collision warning device applicable to a mobile device, the mobile device including a display screen. This collision warning device includes an accelerometer, a sound sensor, a drop detection unit, a collision detection unit, a sound data collection unit, a collision data processing unit, and a collision warning generation unit. The accelerometer is adapted to acquire acceleration data corresponding to the mobile device. The sound sensor is adapted to acquire ambient sound data. The drop detection unit is adapted to determine whether the mobile device is in a drop state based on the acceleration data. The collision detection unit is adapted to determine whether the mobile device has collided based on the acceleration data. The sound data collection unit is adapted to start collecting ambient sound data through the sound sensor after confirming that the mobile device is in a drop state, and after confirming that the mobile device has collided, start calculating a preset time, and stop collecting ambient sound data after the preset time has elapsed. The collision data processing unit is adapted to determine the severity of the collision based on the acceleration data and the collected ambient sound data. The collision warning generation unit is adapted to generate a warning signal based on the severity of the collision.
[0006] The collision warning method and impact warning device provided in this case allow users to quickly know the severity of the collision with the mobile device. Simple Explanation of the Diagram
[0007] The first figure is a schematic diagram of a collision warning device provided according to an embodiment of this case; The second figure is a schematic diagram of a collision warning method provided according to an embodiment of this case; The third figure shows the first embodiment of step S250 in the second figure; Figure 4 shows the second embodiment of step S250 of Figure 2; Figure 5 shows the third embodiment of step S250 of Figure 2. Figure 6 is a schematic diagram of a collision warning device provided according to another embodiment of this case; and Figure 7 is a flowchart of a collision warning method provided according to another embodiment of this case. Implementation
[0008] The specific implementation methods of this case will be described in more detail below with reference to the schematic diagrams. The advantages and features of this case will become clearer based on the following description and the scope of the patent application. It should be noted that the drawings are all in a very simplified form and use non-precise proportions, and are only used to facilitate and clarify the illustration of the embodiments of this case.
[0009] The first figure is a schematic diagram of a collision warning device 100 provided according to an embodiment of this case.
[0010] The collision warning device 100 of this case is applicable to a mobile device 10, which includes a display screen 12.
[0011] The collision warning device 100 includes an acceleration sensor 110, a sound sensor 120, a drop detection unit 130, a collision detection unit 140, a sound data collection unit 150, a collision data processing unit 160, and a collision warning generation unit 170.
[0012] Accelerometer 110 is adapted to acquire acceleration data D1 corresponding to mobile device 10. Sound sensor 120 is adapted to acquire ambient sound data D2.
[0013] The drop determination unit 130 is adapted to determine whether the mobile device 10 is in a drop state based on the acceleration data D1. The collision determination unit 140 is adapted to determine whether the mobile device 10 has collided based on the acceleration data D1. The technology of determining whether the mobile device 10 is falling or colliding through the acceleration data D1 is known in the art and is not the focus of this case, so it will not be described in detail here.
[0014] The sound data collection unit 150 is adapted to start collecting ambient sound data D2 through the sound sensor 120 after confirming that the mobile device 10 is in a falling state, and to start calculating a preset time after confirming that the mobile device 10 has been hit, and to stop collecting ambient sound data D2 after the preset time has elapsed. Specifically, when the drop judgment unit 130 determines that the mobile device 10 is in a falling state, it can generate a recording start signal S1 to the sound data collection unit 150 to notify the sound data collection unit to start collecting ambient sound data D2. When the collision judgment unit 140 determines that the mobile device 10 has been hit, it can generate a recording stop signal S2 to the sound data collection unit 150 to notify the sound data collection unit 150 to start calculating the preset time.
[0015] The collision data processing unit 160 is adapted to determine the severity of the collision of the mobile device 10 based on the acceleration data D1 and the collected ambient sound data D2. For example, the collision data processing unit 160 can determine the speed and direction of the collision of the mobile device 10 based on the acceleration data D1, and can combine this with the intensity of the collision sound collected in the ambient sound data D2 to make an overall judgment on the severity of the collision of the mobile device 10 and the risk of damage to the mobile device 10. Furthermore, if the mobile device 10 is moving at a high speed and the collision sound is loud, there is a higher probability that a serious collision will occur.
[0016] The collision warning generation unit 170 is adapted to generate a warning signal S3 based on the severity of the collision. In one embodiment, the collision warning generation unit 170 is adapted to generate a collision warning image F1 and display it on the display screen 12 based on the severity of the collision. However, this embodiment is not limited to this. For example, the warning signal S3 may also be an audio signal, a light signal, or a vibration signal. The collision warning image F1 may be a virtual collision damage image to indicate the severity of the collision to the user.
[0017] The second figure is a schematic diagram of a collision warning method provided according to an embodiment of this case. This collision warning method is applicable to the mobile device 10 in the first figure.
[0018] As shown in the figure, this collision warning method includes the following steps.
[0019] First, as described in step S210, based on the acceleration data D1, it is determined whether the mobile device 10 is in a falling state. If it is confirmed that the mobile device 10 is not in a falling state, this process ends.
[0020] If it is confirmed that the mobile device 10 is in a falling state, the process proceeds to step S220, where the collection of ambient sound data D2 begins.
[0021] Following step S220, after confirming that the mobile device 10 is in a falling state, as described in step S230, it is determined whether the mobile device 10 has caused a collision based on the acceleration data D1.
[0022] If a collision is confirmed for the mobile device 10, the process proceeds to step S240, where a preset time is calculated, and after this preset time has elapsed, the collection of ambient sound data D2 is stopped. If no collision is confirmed for the mobile device 10, the process ends.
[0023] Following step S240, as described in step S250, the severity of the collision of the mobile device 10 is determined based on the acceleration data D1 and the collected ambient sound data D2.
[0024] Subsequently, as described in step S260, a warning signal S3 is generated based on the severity of the collision.
[0025] In one embodiment, the aforementioned step of generating a warning signal S3 based on the severity of the collision involves generating a collision warning image F1 and displaying it on the display screen 12 based on the severity of the collision. However, this embodiment is not limited to this. For example, the warning signal S3 can also be an audio signal, a light signal, or a vibration signal.
[0026] Please also refer to Figure 3, which shows the first embodiment of step S250 of Figure 2.
[0027] Following step S240, firstly, as described in step S310, the maximum decibel value in the collected ambient sound data D2 is obtained.
[0028] Next, as described in step S320, the severity of the collision of the mobile device 10 is determined based on the acceleration data D1 and the maximum decibel value.
[0029] Please also refer to Figure 4, which shows the second embodiment of step S250 in Figure 2.
[0030] Following step S240, firstly, as described in step S410, the average decibel value in the collected ambient sound data D2 is obtained.
[0031] Next, as described in step S420, the severity of the collision of the mobile device 10 is determined based on the acceleration data D1 and the average decibel value.
[0032] Please refer to Figure 5, which shows the third embodiment of step S250 in Figure 2.
[0033] Following step S240, firstly, as described in step S510, the maximum velocity value before the collision occurs is obtained.
[0034] Next, as described in step S520, the maximum decibel value in the collected ambient sound data D2 is obtained.
[0035] Then, as described in step S530, the severity of the collision of the mobile device 10 is determined based on the maximum speed value and the maximum decibel value.
[0036] Figure 6 is a schematic diagram of a collision warning device 600 provided according to another embodiment of this case.
[0037] The collision warning device 600 of this case is applicable to a mobile device 60, which includes a display screen 62.
[0038] The collision warning device 600 includes an accelerometer 610, a sound sensor 620, a drop detection unit 630, a collision detection unit 640, a sound data collection unit 650, a collision data processing unit 660, a collision warning generation unit 670, and a storage unit 680.
[0039] Accelerometer 610 is adapted to acquire acceleration data D1 corresponding to mobile device 60. Sound sensor 620 is adapted to acquire ambient sound data D2.
[0040] The drop detection unit 630 is adapted to determine whether the mobile device 60 is in a drop state based on the acceleration data D1.
[0041] The collision determination unit 640 is adapted to determine whether the moving device 60 has caused a collision based on the acceleration data D1.
[0042] The sound data collection unit 650 is adapted to start collecting ambient sound data D2 through the sound sensor 620 after confirming that the mobile device 60 is in a falling state, and to start calculating a preset time after confirming that the mobile device 60 has been hit, and to stop collecting ambient sound data D2 after the preset time has elapsed.
[0043] Storage unit 680 is suitable for storing multiple collision soundprints VP, each of which corresponds to a multiple preset collision object.
[0044] The collision data processing unit 660 is adapted to acquire multiple collision soundprints VP and compare the ambient sound data D2 with the multiple collision soundprints VP to infer the actual collision object of the mobile device 60.
[0045] The collision data processing unit 660 is adapted to acquire the maximum decibel value in the ambient sound data D2. The collision data processing unit 660 can determine the severity of the collision of the mobile device 60 based on the acceleration data D1, the actual collision object inferred after comparing the collision sound signature VP, and the maximum decibel value.
[0046] For example, if the maximum decibel value in the ambient sound data D2 is too high, the maximum velocity value presented in the acceleration data D1 is too high, or the actual collision object inferred from the voiceprint VP comparison is a hard object such as metal, there is a higher probability that a serious collision will occur.
[0047] The collision warning generation unit 670 is adapted to generate a warning signal S3 based on the severity of the collision. In one embodiment, the collision warning generation unit 670 is adapted to generate a collision warning image F1 based on the severity of the collision and display it on the display screen 62. However, this embodiment is not limited to this.
[0048] Figure 7 is a flowchart of a collision warning method provided according to another embodiment of this case. This collision warning method is applicable to the mobile device 60 in Figure 6.
[0049] First, as described in step S710, based on the acceleration data D1, it is determined whether the mobile device 60 is in a falling state. If it is confirmed that the mobile device 60 is not in a falling state, this process ends.
[0050] If it is confirmed that the mobile device 60 is in a falling state, the process proceeds to step S720, where the collection of ambient sound data D2 begins.
[0051] Following step S720, after confirming that the mobile device 60 is in a falling state, as described in step S730, it is determined whether the mobile device 60 has caused a collision based on the acceleration data D1.
[0052] If a collision is confirmed to have occurred with the mobile device 60, the process proceeds to step S740, where a preset time is calculated, and after this preset time has elapsed, the collection of ambient sound data D2 is stopped. If no collision is confirmed to have occurred with the mobile device 60, the process ends.
[0053] Following step S740, as described in step S752, a plurality of collision sound patterns VP are obtained, each of which corresponds to a plurality of preset collision objects.
[0054] Subsequently, as described in step S754, the ambient sound data D2 is compared with the multiple collision soundprints VP to infer the actual collision object of the mobile device 60.
[0055] Then, as described in step S756, the maximum decibel value in the ambient sound data D2 is obtained.
[0056] Next, as described in step S758, the severity of the collision of the mobile device 60 is determined based on the acceleration data D1, the actual colliding object, and the maximum decibel value.
[0057] Subsequently, as described in step S760, a warning signal S3 is generated based on the severity of the collision.
[0058] In one embodiment, the aforementioned step of generating a warning signal S3 based on the severity of the collision involves generating a collision warning image F1 and displaying it on the display screen 62 based on the severity of the collision. However, this embodiment is not limited to this. For example, the warning signal S3 can also be an audio signal, a light signal, or a vibration signal.
[0059] The above are merely preferred embodiments of this case and do not limit the scope of this case in any way. Any equivalent substitutions or modifications made by those skilled in the art to the technical means and content disclosed in this case without departing from the scope of the technical means of this case shall be deemed to have remained within the scope of protection of this case.
[0060] 10,60: Mobile Device 12,62: Display screen 100, 600: Collision warning device 110, 610: Accelerometer 120, 620: Sound sensor 130,630: Drop detection unit 140, 640: Collision Detection Unit 150, 650: Sound data collection unit 160, 660: Collision Data Processing Unit 170,670: Collision warning generation unit 680: Storage Unit D1: Acceleration Data D2: Ambient Sound Data S1: Record start signal S2: Record stop signal S3: Alert Signal F1: Collision Warning Image VP: Collision Soundprint S210, S220, S230, S240, S250, S260, S310, S320, S410, S420, S510, S520, S530, S710, S720, S730, S740, S752, S754, S756, S758, S760: Steps
Claims
1. A collision warning method applicable to a mobile device, the mobile device including an accelerometer, a sound sensor, and a display screen, the accelerometer being adapted to acquire acceleration data corresponding to the mobile device, the sound sensor being adapted to acquire ambient sound data, the collision warning method comprising: determining, based on the acceleration data, whether the mobile device is in a falling state; after confirming that the mobile device is in the falling state, starting to collect the ambient sound data; determining, based on the acceleration data, whether the mobile device has caused a collision; after confirming that the mobile device has caused a collision, starting to calculate a preset time, and stopping the collection of the ambient sound data after the preset time has elapsed; and determining the severity of the collision of the mobile device based on the acceleration data and the collected ambient sound data; and generating a warning signal based on the severity of the collision.
2. The collision warning method as described in request item 1, wherein, The steps for determining the severity of a collision involving a mobile device based on the acceleration data and the collected ambient sound data include: obtaining the maximum decibel value in the ambient sound data; and determining the severity of a collision involving the mobile device based on the acceleration data and the maximum decibel value.
3. The collision warning method as described in request item 1, wherein, The steps for determining the severity of a collision involving a mobile device based on the acceleration data and the collected ambient sound data include: obtaining the average decibel value in the ambient sound data; and determining the severity of a collision involving the mobile device based on the acceleration data and the average decibel value.
4. The collision warning method as described in request item 1, wherein, The steps for determining the severity of a collision involving the mobile device based on the acceleration data and the collected ambient sound data include: obtaining the maximum velocity value before the collision occurs; obtaining the maximum decibel value in the ambient sound data; and determining the severity of the collision involving the mobile device based on the maximum velocity value and the maximum decibel value.
5. The collision warning method as described in request item 1, wherein, The steps for determining the severity of a collision involving the mobile device based on the acceleration data and the collected ambient sound data include: acquiring multiple collision soundprints, each corresponding to a multiple preset collision object; comparing the ambient sound data with the multiple collision soundprints to infer the actual collision object of the mobile device; acquiring the maximum decibel value in the ambient sound data; and determining the severity of the collision involving the mobile device based on the acceleration data, the actual collision object, and the maximum decibel value.
6. The collision warning method as described in request item 1, wherein, The step of generating the warning signal based on the severity of the collision is to generate a collision warning image and display it on the screen based on the severity of the collision.
7. A collision warning device for a mobile device, the mobile device including a display screen, the collision warning device comprising: an accelerometer adapted to acquire acceleration data corresponding to the mobile device; a sound sensor adapted to acquire ambient sound data; a drop detection unit adapted to determine whether the mobile device is in a drop state based on the acceleration data; a collision detection unit adapted to determine whether the mobile device has caused a collision based on the acceleration data; a sound data collection unit adapted to, after confirming that the mobile device is in the drop state, notify the sound sensor to start collecting the ambient sound data, and after confirming that the mobile device has caused a collision, start calculating a preset time, and stop collecting the ambient sound data after the preset time has elapsed; a collision data processing unit adapted to determine the severity of the collision of the mobile device based on the acceleration data and the collected ambient sound data; and a collision warning generation unit adapted to generate a warning signal based on the severity of the collision.
8. The collision warning device as described in claim 7, wherein, The collision data processing unit acquires the maximum decibel value in the ambient sound data and determines the severity of the collision of the mobile device based on the acceleration data and the maximum decibel value.
9. The collision warning device as described in claim 7, wherein, The collision data processing unit acquires the average decibel value from the ambient sound data and determines the severity of the collision of the mobile device based on the acceleration data and the average decibel value.
10. The collision warning device as described in claim 8, wherein, The collision data processing unit acquires the maximum speed value before the collision occurs, and determines the severity of the collision of the mobile device based on the maximum speed value and the maximum decibel value.
11. The collision alert device as described in claim 7 further includes a storage unit adapted to store a plurality of collision sound patterns, the plurality of collision sound patterns corresponding to a plurality of preset collision objects, the collision data processing unit acquiring the plurality of collision sound patterns and comparing the ambient sound data with the plurality of collision sound patterns to infer the actual collision object of the mobile device.
12. The collision warning device as described in claim 11, wherein, The collision data processing unit acquires the maximum decibel value in the ambient sound data and determines the severity of the collision of the mobile device based on the acceleration data, the actual collision object, and the maximum decibel value.
13. The collision warning device as described in claim 7, wherein, The collision warning generation unit is adapted to generate a collision warning image based on the severity of the collision and display it on the screen.