Fall detection using sensors in a smart monitoring safety system

    公开(公告)号:US12064233B2

    公开(公告)日:2024-08-20

    申请号:US17037845

    申请日:2020-09-30

    Abstract: A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, where at least one of the plurality of sensor devices comprises sensor elements including an accelerometer. The system further comprising a computing device operative to receive event signals from the plurality of sensor devices, identify a possible fall event from one or more of the plurality of sensor devices based on the event signals, sample sensor data from one or more of the plurality of sensor devices wherein the sensor data includes measurements of movement. The computer device is further operative to determine a fall has occurred based on the sampled sensor data, sample additional sensor data from the one or more of the plurality of sensor devices for additional motion at a period of time subsequent to the possible fall event, and determine a recovery from the fall based on the additional sensor data.

    DUAL CAMERA PATIENT MONITORING SYSTEM

    公开(公告)号:US20220280075A1

    公开(公告)日:2022-09-08

    申请号:US17194666

    申请日:2021-03-08

    Abstract: A method and system for calibrating cameras of a monitoring system, the method comprises receiving a plurality of video frames including a wide area view of a patient area from a primary camera of a monitoring subsystem and a view of a region of interest within the patient area from a secondary camera of the monitoring subsystem, detecting a patient event based on an analysis of given ones of the plurality of video frames corresponding to the wide area view, transmitting the given ones of the plurality of video frames and an identification of the patient event to a viewer client device, generating detection-based calibration instructions based on the patient event, wherein the detection-based calibration instructions including control information that controls operation of the secondary camera based on a location of the patient event, and transmitting the detection-based calibration instructions to the monitoring subsystem, wherein the monitoring subsystem configures the secondary camera based on the control information of the detection-based calibration instructions.

    SMART MONITORING SAFETY SYSTEM USING SENSORS

    公开(公告)号:US20210366611A1

    公开(公告)日:2021-11-25

    申请号:US17397322

    申请日:2021-08-09

    Abstract: A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, at least one of the plurality of sensor devices comprising sensor elements including an accelerometer configured to detect a usage associated with the appliances and fixtures, and a computing device operative to receive event signals from the plurality of sensor devices, generate a collection of data with the event signals, analyze the collection of data, generate analytics and pattern data based on the analysis, and generate notifications based on abnormalities in the analytics and pattern data.

    FALL DETECTION USING SENSORS IN A SMART MONITORING SAFETY SYSTEM

    公开(公告)号:US20210022649A1

    公开(公告)日:2021-01-28

    申请号:US17037845

    申请日:2020-09-30

    Abstract: A smart monitoring system comprising a plurality of sensor devices coupled to appliances and fixtures within a dwelling environment, where at least one of the plurality of sensor devices comprises sensor elements including an accelerometer. The system further comprising a computing device operative to receive event signals from the plurality of sensor devices, identify a possible fall event from one or more of the plurality of sensor devices based on the event signals, sample sensor data from one or more of the plurality of sensor devices wherein the sensor data includes measurements of movement. The computer device is further operative to determine a fall has occurred based on the sampled sensor data, sample additional sensor data from the one or more of the plurality of sensor devices for additional motion at a period of time subsequent to the possible fall event, and determine a recovery from the fall based on the additional sensor data.

    SURVEILLANCE SYSTEM AND METHOD FOR PREDICTING PATIENT FALLS USING MOTION FEATURE PATTERNS

    公开(公告)号:US20190318601A1

    公开(公告)日:2019-10-17

    申请号:US16353485

    申请日:2019-03-14

    Abstract: A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

    Smart monitoring safety and quality of life system using sensors

    公开(公告)号:US12274546B2

    公开(公告)日:2025-04-15

    申请号:US17546136

    申请日:2021-12-09

    Abstract: A smart monitoring system including a processor configured to receive activity signals from a plurality of sensor devices including at least one near-field sensor device configured to detect signals from one or more wireless transmitter devices coupled to an individual in a home or facility. The activity signals include detected signals from the one or more wireless transmitter devices indicating a location of the individual. Sensor data indicates usage of appliances and fixtures, including a button press and a press duration that is representative of urgency unique to the appliances and fixtures. The system is further configured to interpret the activity signals as daily activities performed by the individual, generate a quality of life score for the individual based on the interpreted activities, and process a clinical analysis of the individual based on the quality of life score.

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