Apparatus, system, and method for detecting activities and anomalies in time series data
US-9833196-B2 · Dec 5, 2017 · US
US2016157773A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016157773-A1 |
| Application number | US-201514960128-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 4, 2015 |
| Priority date | Dec 4, 2014 |
| Publication date | Jun 9, 2016 |
| Grant date | — |
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Disclosed is a method for an electronic device. The method may include: acquiring a galvanic skin response; generating a first parameter for a first interval and a second parameter for a second interval based on the galvanic skin response, the second interval being an interval before the first interval; determining a first threshold corresponding to the first interval based on the second parameter; and determining an activity state of the first interval based on the first threshold and the first parameter corresponding to the first interval.
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What is claimed is: 1 . A method, comprising: acquiring a galvanic skin response; generating, based on the galvanic skin response, a first parameter for a first interval and a second parameter for a second interval, wherein the first interval and the second interval are time intervals and the second interval is before the first interval; generating an asleep state determination threshold based on the second parameter; and determining an activity state in the first interval by comparing the first parameter to a multiple of the asleep state determination threshold. 2 . The method of claim 1 , further comprising low-pass filtering the galvanic skin response. 3 . The method of claim 2 , further comprising sampling the galvanic skin response acquired for a first period unit, wherein the first period unit is equal to the first interval. 4 . The method of claim 3 , wherein generating the first parameter and the second parameter comprises calculating a first average value of sampled data for the first interval as the first parameter and calculating a second average value of sampled data of the second interval as the second parameter. 5 . The method of claim 3 , wherein the second interval corresponds to a preset multiple of the first period unit. 6 . The method of claim 5 , wherein the preset multiple has different values when the activity state being determined is an asleep state than when the activity state being determined is an awake state. 7 . The method of claim 5 , wherein generating the asleep state determination threshold comprises determining an average value of the second parameter of the second interval. 8 . The method of claim 1 , wherein when determining whether the activity state of the first interval is an asleep state, determining the activity state is the asleep state when the first parameter is smaller than a preset multiple of the asleep state determination threshold or smaller than a preset constant. 9 . The method of claim 1 , wherein when determining whether the activity state of the first interval is an asleep state, determining the activity state as an unconfirmed interval, when the first parameter is equal to or larger than a preset multiple of the asleep state determination threshold or larger than or equal to a preset constant. 10 . The method of claim 9 , further comprising determining an activity state of the unconfirmed interval based on at least one of the asleep state of intervals before and after the unconfirmed interval. 11 . The method of claim 10 , wherein the activity state of the unconfirmed interval is determined to be the asleep state when both of the intervals prior to and after the unconfirmed interval are in an asleep state. 12 . An electronic device comprising: a sensor module that acquires a galvanic skin response; and a processor that generates a first parameter for a first interval and a second parameter for a second interval based on the galvanic skin response, determines an asleep state determination threshold based on the second parameter, and determines an activity state of the first interval by comparing the first parameter to a multiple of the asleep state determination threshold, wherein the first interval and the second interval are time intervals and the second interval is before the first interval. 13 . The electronic device of claim 12 , further comprising a filtering module that low-pass filters the galvanic skin response. 14 . The electronic device of claim 13 , wherein the processor samples the galvanic skin response acquired for a first period unit, wherein the first period unit is equal to the first interval. 15 . The electronic device of claim 14 , wherein the processor generates the first parameter as a first average value of sampled data for the first interval and generates the second parameter as a second average value of sampled data of the second interval. 16 . The electronic device of claim 14 , wherein the second interval corresponds to a preset multiple of the first period unit. 17 . The electronic device of claim 16 , wherein the preset multiple has different values when the activity state being determined is an asleep state than when the activity state being determined is an awake state. 18 . The electronic device of claim 16 , wherein the processor generates the asleep state determination threshold as an average value of the second parameter of the second interval. 19 . The electronic device of claim 12 , wherein, when the first parameter is smaller than a preset multiple of the asleep state determination threshold or smaller than a preset constant, the processor determines the first interval as the sleep state. 20 . A method, comprising: acquiring a galvanic skin response; generating, based on the galvanic skin response, a first parameter for a first interval, a second parameter for a second interval, and a third parameter for a third interval, wherein the first interval, the second interval, and the third interval are time intervals, and the second interval and the third interval are before the first interval; determining an asleep state determination threshold based on the second parameter and determining an awake state determination threshold based on the third parameter; and determining an activity state of the first interval as one of an asleep state based on the asleep state determination threshold and an awake state based on the awake state determination threshold.
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