Information processing device
US-2024249249-A1 · Jul 25, 2024 · US
US2016016590A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016016590-A1 |
| Application number | US-201514802471-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 17, 2015 |
| Priority date | Jul 17, 2014 |
| Publication date | Jan 21, 2016 |
| Grant date | — |
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Present disclosure refers to a method for detecting driving events of a vehicle. The method comprises the steps of: obtaining at least one motion data signal from sensors of a mobile device located in the vehicle; sending the at least one motion data signal from the sensors to a processing module; computing, in the processing module, an energy measurement of the at least one motion data signal; selecting time segments where the energy measurement of the at least one motion data signal exceeds a first threshold; analyzing the at least one motion data signal in said time segments; and assigning a driving event to each time segment.
Opening claim text (preview).
1 . Method for detecting driving events of a vehicle characterized by comprising the steps of: a) obtaining at least one motion data signal from sensors of a mobile device located in the vehicle; b) sending the at least one motion data signal from the sensors to a processing module; c) computing, in the processing module, an energy measurement of the at least one motion data signal, d) selecting time segments where the energy measurement of the at least one motion data signal exceeds a first threshold; e) analyzing the at least one motion data signal in said time segments; f) assigning a driving event to each time segment, based on step e). 2 . The method according to claim 1 further comprising the steps of: comparing, in each time segment corresponding to a driving event, a maximum energy value of the at least one motion data signal with a second threshold; in the case of said the second threshold is exceeded in a certain time segment, determining an aggressive driving event for said time segment. 3 . The method according to claim 1 further comprising combining two or more close driving events into a single driving event. 4 . The method according to claim 1 wherein assigning a driving event to a time segment further comprising analyzing surrounding driving events. 5 . The method according to claim 1 further comprising filtering, through at least one low-pass filter, the at least one motion data signal to remove high-pass frequencies, which are not related to driving events. 6 . The method according to claim 1 further comprising resampling and interpolating the at least one motion data signal at a certain sampling frequency. 7 . The method according to claim 1 further comprising estimating an effect of the gravity in the at least one motion data signal and compensating said effect before sending the at least one motion data signal to the processing module. 8 . The method according to claim 1 wherein obtaining the at least one motion data signal comprises measuring an acceleration value of the mobile device, using an accelerometer sensor embedded in the mobile device. 9 . The method according to claim 1 wherein obtaining the at least one motion data signal comprises measuring an angular velocity of the mobile device, using a gyroscope sensor embedded in the mobile device. 10 . The method according to claim 1 wherein the driving events are selected from the following types: manipulation events, turn events, acceleration events, stop events and zig-zag events. 11 . The method according to claim 10 wherein a driving event comprises the following information: type of event; start time of the event; end time of the event; and maximum value of the motion data signal within the time segment assigned. 12 . The method according to claim 1 where analyzing the at least one motion data signal further comprising using an orientation vector associated to the vehicle, being said orientation vector based on a combination of previous acceleration and stop events. 13 . System for detecting driving events of a vehicle characterized by comprising: a mobile device located in the vehicle with sensors configured for obtaining at least one motion data signal; the mobile device is configured for sending the at least one motion data signal obtained by the sensors to a processing module; a processing module configured for computing an energy measurement of the at least one motion data signal; selecting time segments where the energy measurement of the at least one motion data signal exceeds a first threshold; analyzing the at least one motion data signal in said time segments; and assigning a driving event to each time segment, based on the motion data signal analyzed. 14 . The system according to claim 13 wherein the mobile device is a smartphone. 15 . A computer program product comprising computer program code adapted to perform the method according to claim 1 when said program code is executed on a computer, a digital signal processor, a field-programmable gate array, an application-specific integrated circuit, a micro-processor, a micro-controller, or any other form of programmable hardware.
Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects · CPC title
related to vehicle motion · CPC title
Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration · CPC title
Driving style or behaviour · CPC title
Low-pass filters · CPC title
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