Occupant seat detection system and method
First Claim
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1. An occupant detection system comprising:
- at least one sensing device disposed in a seat, wherein the sensing device is configured to detect signals at an operating frequency;
an electronic device configured to acquire data from the at least one sensing device, wherein the data is indicative of a signal value at the operating frequency, wherein the electronic device acquires a first set of data and a second set of data during a first time period and second time period distinct from the first time period, each set of data comprising data acquired in at least two sensing device configurations characterized as detecting signals at distinct operating frequencies, wherein the first set of data and second set of data are compared to each other to create a set of change data having an individual element for each operating frequency; and
a heuristic configured to determine anomalous acquired data by comparing the individual elements for each operating frequency within the set of change data to each other.
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Abstract
An occupant system includes a sensing device disposed in a seat and an electronic device configured to acquire data from the sensing device. The electronic device includes a system controller which uses that data to determine an appropriate system response. Data is acquired in at least two different system configurations and in at least two different time periods. A data set is created which represents a comparison of data acquired in the different configurations and times. The elements of this data set are compared to each other to identify anomalous data and respond accordingly.
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Citations
22 Claims
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1. An occupant detection system comprising:
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at least one sensing device disposed in a seat, wherein the sensing device is configured to detect signals at an operating frequency; an electronic device configured to acquire data from the at least one sensing device, wherein the data is indicative of a signal value at the operating frequency, wherein the electronic device acquires a first set of data and a second set of data during a first time period and second time period distinct from the first time period, each set of data comprising data acquired in at least two sensing device configurations characterized as detecting signals at distinct operating frequencies, wherein the first set of data and second set of data are compared to each other to create a set of change data having an individual element for each operating frequency; and a heuristic configured to determine anomalous acquired data by comparing the individual elements for each operating frequency within the set of change data to each other. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of detecting an occupant of a seat, comprising the steps of:
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providing an occupant detection system including at least one sensing device disposed in a seat, wherein the sensing device is configured to detect signals at an operating frequency, and an electronic device configured to acquire data from the at least one sensing device, wherein the data is indicative of a signal value at the operating frequency; acquiring a first set of data which includes at least two elements, the at least two elements corresponding to the response of the system when the sensing device is configured differently for acquisition of each of the at least two elements at distinct operating frequencies; acquiring a second set of data which includes at least two elements, the at least two elements corresponding to the response of the system when the sensing device is configured differently for acquisition of each of the at least two elements at the distinct operating frequencies;
wherein each element of the first data set is acquired at the same distinct operating frequencies as a corresponding element of the second data set;comparing the individual elements of the first data set to the corresponding individual elements of the second data set to create a first set of change data; comparing the elements within the first set of change data to each other to identify anomalous data. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification