Hybrid audio-based presence detection

    公开(公告)号:US10732258B1

    公开(公告)日:2020-08-04

    申请号:US15276278

    申请日:2016-09-26

    Abstract: A system capable of detecting human presence based on output from a model-free detector and model-based detector(s). For example, the model-free detector may identify acoustic events and the model-based detectors can determine specific types of acoustic events and whether the acoustic events are associated with human activity. Using output from the model-based detectors, a device may confirm that an acoustic event identified by the model-free detector is associated with human activity or may determine that the acoustic event is associated with non-human activity and can be ignored. Thus, the device may detect human presence based on a wide variety of noises while reducing a number of false positives associated with the model-free detector.

    Controlling sensitivity of presence detection using ultrasonic signals

    公开(公告)号:US11982737B1

    公开(公告)日:2024-05-14

    申请号:US17363302

    申请日:2021-06-30

    CPC classification number: G01S15/04 G01S7/539

    Abstract: Techniques for presence-detection devices to vary presence-detection sensitivity to detect different types of movements by objects, such as major movements and minor movements, using ultrasonic signals. The devices detect movement of a person in an environment by emitting ultrasonic signals into the environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person relative to the presence-detection devices. The presence-detection devices may control the presence-detection sensitivity in order to detect major movements, such as a user walking in a room, as well as objects minor movements, such as a user typing at a computer. By adjusting the presence-detection sensitivity, the devices are able to improve the overall accuracy of detecting the presence of users in an environment.

    Device calibration for presence detection using ultrasonic signals

    公开(公告)号:US11513216B1

    公开(公告)日:2022-11-29

    申请号:US17171455

    申请日:2021-02-09

    Abstract: Techniques for calibrating presence-detection devices to account for various factors that can affect the presence-detection devices' ability to detect movement. Presence-detection devices may detect movement of a person in an environment by emitting ultrasonic signals into the environment, and characterizing the change in the frequency, or the Doppler shift, of the reflections of the ultrasonic signals off the person caused by the movement of the person. However, factors such as environmental acoustic conditions, noise sources, etc., may affect the ability of the presence-detection devices to detect movement. To calibrate for these factors, the presence-detection devices may use a loudspeaker to emit an ultrasonic sweep signal that spans different frequencies in an ultrasonic frequency range. The presence-detection devices may generate audio data using a microphone that represents the ultrasonic sweep signal, and analyze that audio data to determine an optimal frequency range and/or transmission power for subsequent ultrasonic signal transmissions.

    Recommendation generation for infrequently accessed items

    公开(公告)号:US09959563B1

    公开(公告)日:2018-05-01

    申请号:US14135176

    申请日:2013-12-19

    CPC classification number: G06Q30/0631

    Abstract: Systems and methods are disclosed for generating recommendation rules based on the attributes of items that are purchased together at a threshold rate. The attributes of the items may be extracted from item-detail content associated with the items. Using a count of the frequency with which pairs of items include pairs of attributes, a recommendation rule can be created that recommends items with particular attributes to users who access other items with particular attributes. Further, using the recommendation rules, items may be selected for recommendation to users who access an item that lacks historical access data from which to generate recommendations solving the “cold-start” problem. Moreover, negative rules may be generated based on historical access data and attributes of items purchased and/or not purchased together at a threshold rate to prevent the recommendation of particular items to users who access items associated with the negative rules.

Patent Agency Ranking