# US 10,504,351 B2 · Method and apparatus for detecting abnormal event related to person at home > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,504,351 B2 - Document ID: US10504351B2 - Status: Granted - Kind: B2 - Application number: 15/848,672 - Filed: 2017-12-20 - Published: 2018-06-28 - Granted: 2019-12-10 - Earliest claimed: 2016-12-26 - Assignees: Encored Technologies, Inc. - Applicants: Encored Technologies, Inc. - Inventors: Hyoseop Lee; Jongwoong Choe - Web page: https://patentgrep.com/patent/US10504351B2 ## CPC - G08B 21/0415: {detecting absence of activity per se} - G01R 21/00: Arrangements for measuring electric power or power factor (G01R7/12 takes precedence) - G08B 21/0423: {detecting deviation from an expected pattern of behaviour or schedule} - H04L 12/2825: {Reporting to a device located outside the home and the home network (access arrangements H04L12/2856; for remote control or remote monitoring of applications H04L67/025; telephonic communication systems adapted for combination with telemetering systems H04M11/002)} - H04L 12/2834: {Switching of information between an external network and a home network (access arrangements H04L12/2856)} - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract A method and apparatus for detecting an abnormal event related to a person at home are provided. The method includes measuring home electricity use data in each first predetermined time interval, determining whether an abnormal event related to the person at home has occurred based on the home electricity use data, generating a notification message including the abnormal event related to the person at home when it is determined that the abnormal event related to the person at home has occurred, and transmitting the notification message to a predetermined user device. ## Claims ### Claim 1 A server comprising: a measuring unit configured to measure home electricity use data in each first predetermined time interval, wherein the home electricity use data comprises at least one of total home electricity usage, the amount of home device's electricity usage, home device's electricity use time, and the number of home device uses, the measuring unit including an estimator; the estimator including a deep neural network having an input layer, an output layer, and a plurality of hidden layers between the input layer and the output layer, the input layer receiving at least one among an amount of home electricity usage measured in a previous time interval and weather information, wherein the estimator is configured to estimate the home electricity use data; a determinator configured to determine whether an abnormal event related to a person at home has occurred based on the measured and the estimated home electricity use data; a message generator configured to generate a notification message including the abnormal event related to the person at home when it is determined that the abnormal event related to the person at home has occurred; and a message transmitter configured to transmit the notification message to a predetermined user device. ### Claim 2 (depends on 1) The server of claim 1, wherein the estimator is configured to estimate home electricity use data in each second predetermined time interval. ### Claim 3 (depends on 1) The server of claim 1, wherein the home electricity use data comprises total home electricity usage; and wherein the determinator determines whether a change in the total home electricity usage in a predetermined time period is equal to or less than a predetermined threshold value. ### Claim 4 (depends on 1) The server of claim 1, wherein the home electricity use data comprises total home electricity usage; and wherein the determinator determines whether a difference between total home electricity usage measured in the first predetermined time interval and total home electricity usage estimated in the second predetermined time interval is equal to or greater than a predetermined threshold value, and the second predetermined time interval comes after the first predetermined time interval. ### Claim 5 (depends on 1) The server of claim 1, further comprising a storage configured to store measured home electricity use data in each first predetermined time interval. ### Claim 6 (depends on 5) The server of claim 5, wherein the home electricity use data comprises the number of home device uses; and wherein the determinator determines whether the number of home device uses is equal to or greater than a first threshold value or equal to or less than a second threshold value, the number of home device uses having been stored for a predetermined time period. ### Claim 7 (depends on 5) The server of claim 5, wherein the home electricity use data comprises the home device's electricity use time; and wherein the determinator determines whether the home device's electricity use time is equal to or greater than a third threshold value or equal to or less than a fourth threshold value, the home device's electricity use time having been stored for a predetermined time period. ### Claim 8 (depends on 5) The server of claim 5, wherein the home electricity use data comprises the amount of home device's electricity usage; and wherein the determinator determines whether the amount of home device's electricity usage is equal to or greater than a fifth threshold value or equal to or less than a sixth threshold value, the amount of home device's electricity usage having been stored for a predetermined time period. ### Claim 9 (depends on 5) The server of claim 5, wherein the determinator determines whether a device use pattern appears, the device use pattern predicted to occur after a use of a home device or predicted to occur at a predetermined time with a predetermined probability. ### Claim 10 (depends on 1) The server of claim 1, wherein the determinator determines whether an error or overcurrent has occurred during collection and transmission of the home electricity use data based on the home electricity use data. ### Claim 11 A method of detecting an abnormal event related to a person at home, the method comprising: measuring home electricity use data in each first predetermined time interval, wherein the home electricity use data comprises at least one of total home electricity usage, the amount of home device's electricity usage, home device's electricity use time, and the number of home device uses; estimating the home electricity use data using a deep neural network having an input layer, an output layer, and a plurality of hidden layers between the input layer and the output layer, with the input layer receiving at least one among an amount of home electricity usage measured in a previous time interval and weather information; determining whether an abnormal event related to the person at home has occurred based on the measured and the estimated home electricity use data; generating a notification message including the abnormal event related to the person at home when it is determined that the abnormal event related to the person at home has occurred; and transmitting the notification message to a predetermined user device. ### Claim 12 (depends on 11) The method of claim 11, wherein the estimating estimates home electricity use data in each second predetermined time interval. ### Claim 13 (depends on 11) The method of claim 11, wherein the home electricity use data comprises total home electricity usage; and wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether a change in the total home electricity usage in a predetermined time period is equal to or less than a predetermined threshold value. ### Claim 14 (depends on 11) The method of claim 11, wherein the home electricity use data comprises total home electricity usage; and wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether a difference between total home electricity usage measured in the first predetermined time interval and total home electricity usage estimated in the second predetermined time interval is equal to or greater than a predetermined threshold value, and the second predetermined time interval comes after the first predetermined time interval. ### Claim 15 (depends on 11) The method of claim 11, further comprising storing measured home electricity use data in each first predetermined time interval. ### Claim 16 (depends on 15) The method of claim 15, wherein the home electricity use data comprises the number of home device uses; and wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether the number of home device uses is equal to or greater than a first threshold value or equal to or less than a second threshold value, the number of home device uses having been stored for a predetermined time period. ### Claim 17 (depends on 15) The method of claim 15, wherein the home electricity use data comprises home device's electricity use time; and wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether the home device's electricity use time is equal to or greater than a third threshold value or equal to or less than a fourth threshold value, the home device's electricity use time having been stored for a predetermined time period. ### Claim 18 (depends on 15) The method of claim 15, wherein the home electricity use data comprises the amount of home device's electricity usage; and wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether the amount of home device's electricity usage is equal to or greater than a fifth threshold value or equal to or less than a sixth threshold value, the amount of home device's electricity usage having been stored for a predetermined time period. ### Claim 19 (depends on 15) The method of claim 15, wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether a device use pattern appears, the device use pattern predicted to occur after a use of a home device or predicted to occur at a predetermined time with a predetermined probability. ### Claim 20 (depends on 11) The method of claim 11, wherein the determining of whether the abnormal event related to the person at home has occurred comprises determining whether an error or overcurrent has occurred during collection and transmission of the home electricity use data based on the home electricity use data.