# US 11,310,889 B2 · Motion detector, a luminaire, a corresponding method > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,310,889 B2 - Document ID: US11310889B2 - Status: Granted - Kind: B2 - Application number: 17/295,069 - Filed: 2019-12-05 - Published: 2022-01-20 - Granted: 2022-04-19 - Earliest claimed: 2018-12-12 - Assignees: Signify Holding B.V. - Applicants: Signify Holding B.V. - Inventors: Shoaib Hussain Khan; Matthew Steven Whitehill; Fetze Pijlman - Web page: https://patentgrep.com/patent/US11310889B2 ## CPC - H05B 47/115: by determining the presence or movement of objects or living beings - H05B 47/12: by detecting audible sound - G01S 13/56: for presence detection {(presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26)} - H05B 47/16: by timing means - Y02B 20/40: Control techniques providing energy savings, e.g. smart controller or presence detection - H05B: ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - Y02B: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS ## Abstract Some embodiments are directed to a motion detector configured to classify an environment as quiet or motion. The motion detector is configured to estimate if the frequency bins in a motion signal correspond to a motion source in the environment or to a noise source in the environment. Some embodiments are directed to a luminaire comprising a motion detector. ## Claims ### Claim 1 A motion detector configured to classify an environment as quiet or motion, the motion detector comprising: a signal input for receiving a sensor signal of a motion sensor, a processor configured to: convert the sensor signal to a frequency domain, obtaining a plurality of frequency bins, identifying frequency bins having an increased magnitude, estimating whether the identified frequency bins correspond to a motion source in the environment or to a noise source in the environment, by estimating an identified frequency bin with increased magnitude as caused by noise by determining that near frequency bins have no increased magnitude, wherein a frequency bin is near if a frequency difference between the near frequency bin and the identified frequency bin is below an upper frequency threshold and above a lower frequency threshold, determining from the identified frequency bins estimated as corresponding to a motion source whether the environment is classified as quiet or motion, by estimating an identified frequency bin with increased magnitude as corresponding to a motion source by determining that near frequency bins have increased magnitude and are not estimated as caused by noise and by determining that said identified frequency bin has a magnitude that exceeds a threshold value. ### Claim 2 (depends on 1) The motion detector as in claim 1, wherein the determining whether the environment is classified as quiet or motion comprises determining an energy in the frequency bins estimated as corresponding to a motion source, the environment being classified as motion if the determined energy exceeds a threshold. ### Claim 3 (depends on 1) The motion detector as in claim 1, wherein the estimating further comprises estimating an identified frequency bin as caused by noise if the frequency bin is adjacent a frequency bin estimated as caused by noise, wherein a frequency bin is adjacent if a frequency difference between the adjacent frequency bin and the identified frequency bin is below the lower frequency threshold. ### Claim 4 (depends on 1) The motion detector as in claim 1, wherein the processor is configured to mark a frequency bin as a noise-caused bin if said frequency bin is consistently estimated as caused by noise over a period of time. ### Claim 5 (depends on 4) The motion detector as in claim 4, wherein the processor is configured to unmark a frequency bin as a noise-caused bin if said frequency bin is estimated as not caused by noise over a period of time. ### Claim 6 (depends on 1) The motion detector as in claim 1, wherein estimating the identified frequency bin as caused by motion further comprises determining that a near frequency bin has increased magnitude and is not estimated as caused by noise and not marked as a noise-caused bin. ### Claim 7 (depends on 1) The motion detector as in claim 1, wherein a frequency bin below a frequency floor is estimated as caused by noise. ### Claim 8 (depends on 4) The motion detector as in claim 4, wherein the processor is configured to mark a frequency bin as a noise-caused bin if said frequency bin is estimated as caused by noise over at least a part of a further period of time. ### Claim 9 (depends on 1) The motion detector as claim 1, wherein the motion sensor is a Doppler motion sensor, micro-wave sensor, or ambient light sensor. ### Claim 10 (depends on 1) The luminaire comprising a motion detector as in claim 1, the luminaire being connectable to a light-emitting element and being configured to control the light-emitting element at least in dependency upon whether the environment is classified as quiet or motion by the motion detector. ### Claim 11 (depends on 10) The luminaire as in claim 10, wherein the processor is further configured to turn-off estimating whether the identified frequency bins correspond to a motion source in the environment or to a noise source in the environment if the light emitting element is turned on. ### Claim 12 A motion detection method configured to classify an environment as quiet or motion, the motion detector method comprising: receiving a sensor signal of a motion sensor, converting the sensor signal to a frequency domain, obtaining a plurality of frequency bins, identifying frequency bins having an increased magnitude, estimating if the identified frequency bins correspond to a motion source in the environment or to a noise source in the environment, by estimating an identified frequency bin with increased magnitude as caused by noise, by determining that near frequency bins have no increased magnitude, wherein a frequency bin is near if a frequency difference between the near frequency bin and the identified frequency bin is below an upper frequency threshold and above a lower frequency threshold, determining from the identified frequency bins estimated as corresponding to a motion source if the environment is classified as quiet or motion, by estimating an identified frequency bin with increased magnitude as corresponding to a motion source, by determining that a near frequency bin has increased magnitude and is not estimated as caused by noise and by determining that said identified frequency bin has a magnitude that exceeds a threshold value. ### Claim 13 (depends on 12) A non-transitory computer readable medium comprising data representing instructions which, when executed by a processor system, cause the processor system to perform steps of the method according to claim 12.