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公开(公告)号：US10398381B1
公开(公告)日：2019-09-03
申请号：US15356383
申请日：2016-11-18
Applicant: FITBIT, INC.
Inventor： Conor Heneghan , Alexandros Pantelopoulos , Subramaniam Venkatraman
IPC: A61B5/00 , A61B5/026 , A61B5/0464
Abstract: In an embodiment, a data processing method comprises obtaining one or more photoplethysmography (PPG) signals from one or more PPG sensors of a monitoring apparatus, the PPG signals being generated based upon optically detecting pulsed variations in blood flow; obtaining a motion sensor signal from a motion sensor in the monitoring apparatus; identifying, based upon the motion sensor signal, one or more periods of motion (e.g., low motion) of the monitoring apparatus; and selectively obtaining and storing segments of the PPG signals based on a temporal relationship between the segments of the PPG signals and the identified periods of motion.
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公开(公告)号：US20170337033A1
公开(公告)日：2017-11-23
申请号：US15413275
申请日：2017-01-23
Applicant: Fitbit, Inc.
Inventor： Peter Duyan , Subramaniam Venkatraman , Logan Niehaus , Shelten Gee Jao Yuen , Timothy M. Roberts
CPC classification number: G06F3/165 , A61B5/02405 , A61B5/02416 , A61B5/02438 , A61B5/1112 , A61B5/1123 , A61B5/486 , A61B2503/10 , A61B2505/09 , A61B2560/0242 , A63B24/0062 , A63B71/0622 , A63B2071/0625 , A63B2071/0661 , A63B2220/12 , A63B2225/50 , A63B2230/06 , G01C21/20 , G01C22/006 , G01S19/13 , G01S19/19 , G01S19/42 , G05B15/02 , G06F1/163 , H04B1/3838 , H04B1/385 , H04B2001/3861
Abstract: Techniques for music selection based on exercise detection are disclosed. In one aspect, a method of operating a wearable device may involve determining, based on output of one or more biometric sensors, that a user of the wearable device has started an exercise and playing music for the user of the wearable device in response to determining the start of the exercise. For example, playing the music may involve turning on a music player based on the start of the exercise. In another example, the wearable device includes the music player.
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公开(公告)号：US09597014B2
公开(公告)日：2017-03-21
申请号：US14290912
申请日：2014-05-29
Applicant: Fitbit, Inc.
IPC: G01S19/47 , A61B5/11 , A61B5/00 , A61B5/024 , H04W4/02 , G01S19/49 , G01S19/14 , H04W4/00 , H04L29/08
CPC classification number: A61B5/1112 , A61B5/0002 , A61B5/0015 , A61B5/01 , A61B5/02416 , A61B5/02427 , A61B5/02433 , A61B5/02438 , A61B5/0402 , A61B5/0488 , A61B5/0533 , A61B5/112 , A61B5/1123 , A61B5/4812 , A61B5/681 , A61B5/6898 , A61B5/7225 , A61B5/725 , A61B5/742 , A61B5/744 , A61B8/06 , A61B2562/0219 , G01S19/14 , G01S19/49 , G06F19/00 , H04L67/12 , H04W4/027 , H04W4/80
Abstract: Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques for enhancing GPS speed and distance measurements based on step counts measured by a biometric monitoring device are provided. Such techniques may, in some implementations, involve blending two independently-measured data streams of raw distance traveled—one based on inter-coordinate GPS coordinate distances and one based on step count and stride length—using a Kalman filter to provide an enhanced-accuracy measurement of distance or speed traveled. In some other or additional implementations, distances or speeds calculated based on inter-coordinate GPS coordinate distances may be smoothed with a smoothing constant that is proportional to the variance in measured step count.
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公开(公告)号：US09456787B2
公开(公告)日：2016-10-04
申请号：US14295076
申请日：2014-06-03
Applicant: Fitbit, Inc.
Inventor： Subramaniam Venkatraman , Shelten Gee Jao Yuen
IPC: A61B5/02 , A61B5/00 , A61B5/0205 , A61B5/11 , A61B5/0402 , A61B5/024 , A61B5/0245
CPC classification number: A61B5/721 , A61B5/0205 , A61B5/02405 , A61B5/02416 , A61B5/0245 , A61B5/0402 , A61B5/1118 , A61B5/1123 , A61B5/681 , A61B5/6824 , A61B5/6831 , A61B5/742 , A61B2562/0219 , G06F19/00
Abstract: A biometric monitoring device is used to determine a user's heart rate by using a heartbeat waveform sensor and a motion detecting sensor. In some embodiments, the device collects collecting concurrent output data from the heartbeat waveform sensor and output data from the motion detecting sensor, detects a periodic component of the output data from the motion detecting sensor, and uses the periodic component of the output data from the motion detecting sensor to remove a corresponding periodic component from the output data from the heartbeat waveform sensor. From this result, the device may determine and present the user's heart rate.
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公开(公告)号：US20150196256A1
公开(公告)日：2015-07-16
申请号：US14599039
申请日：2015-01-16
Applicant: Fitbit, Inc.
Inventor： Subramaniam Venkatraman , Shelten Gee Jao Yuen
IPC: A61B5/00 , A61B5/11 , A61B5/0205
CPC classification number: A61B5/721 , A61B5/0205 , A61B5/02405 , A61B5/02416 , A61B5/0245 , A61B5/0402 , A61B5/1118 , A61B5/1123 , A61B5/681 , A61B5/6824 , A61B5/6831 , A61B5/742 , A61B2562/0219
Abstract: A biometric monitoring device is used to determine a user's heart rate by using a heartbeat waveform sensor and a motion detecting sensor. In some embodiments, the device collects collecting concurrent output data from the heartbeat waveform sensor and output data from the motion detecting sensor, detects a periodic component of the output data from the motion detecting sensor, and uses the periodic component of the output data from the motion detecting sensor to remove a corresponding periodic component from the output data from the heartbeat waveform sensor. From this result, the device may determine and present the user's heart rate.
Abstract translation: 生物识别监测装置用于通过使用心跳波形传感器和运动检测传感器来确定用户的心率。 在一些实施例中，设备收集来自心跳波形传感器的并发输出数据并从运动检测传感器输出数据，检测来自运动检测传感器的输出数据的周期分量，并使用来自运动检测传感器的输出数据的周期分量 运动检测传感器，从心跳波形传感器的输出数据中去除相应的周期性分量。 从该结果，设备可以确定并呈现用户的心率。
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Patent Agency Ranking
公开(公告)号：US20140316305A1
公开(公告)日：2014-10-23
申请号：US14290912
申请日：2014-05-29
Applicant: Fitbit, Inc.
CPC classification number: A61B5/1112 , A61B5/0002 , A61B5/0015 , A61B5/01 , A61B5/02416 , A61B5/02427 , A61B5/02433 , A61B5/02438 , A61B5/0402 , A61B5/0488 , A61B5/0533 , A61B5/112 , A61B5/1123 , A61B5/4812 , A61B5/681 , A61B5/6898 , A61B5/7225 , A61B5/725 , A61B5/742 , A61B5/744 , A61B8/06 , A61B2562/0219 , G01S19/14 , G01S19/49 , G06F19/00 , H04L67/12 , H04W4/027 , H04W4/80
Abstract: Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques for enhancing GPS speed and distance measurements based on step counts measured by a biometric monitoring device are provided. Such techniques may, in some implementations, involve blending two independently-measured data streams of raw distance traveled—one based on inter-coordinate GPS coordinate distances and one based on step count and stride length—using a Kalman filter to provide an enhanced-accuracy measurement of distance or speed traveled. In some other or additional implementations, distances or speeds calculated based on inter-coordinate GPS coordinate distances may be smoothed with a smoothing constant that is proportional to the variance in measured step count.
Abstract translation: 本文讨论了包括可在这些装置中实现的各种技术的生物特征监视装置。 另外，提供了基于由生物特征监测装置测量的步数的增强GPS速度和距离测量的技术。 在一些实施方式中，这样的技术可以涉及将基于坐标间坐标GPS坐标距离的原始距离行进的两个独立测量的数据流和基于步长计数和步幅长度混合使用卡尔曼滤波器来提供增强精度 测量距离或行驶速度。 在一些其他或附加的实施方式中，可以使用与测量步数计数的方差成比例的平滑常数来平滑基于坐标间坐标系坐标距离计算的距离或速度。
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公开(公告)号：US20140275850A1
公开(公告)日：2014-09-18
申请号：US14290909
申请日：2014-05-29
Applicant: Fitbit, Inc.
IPC: A61B5/11 , A61B5/0402 , G01S19/48 , A61B5/00 , A61B5/04 , A61B5/0205 , A61B5/0488
CPC classification number: G01S19/34 , A61B5/0002 , A61B5/0059 , A61B5/0205 , A61B5/02416 , A61B5/02427 , A61B5/02433 , A61B5/02438 , A61B5/0402 , A61B5/0488 , A61B5/0533 , A61B5/0537 , A61B5/1112 , A61B5/1118 , A61B5/112 , A61B5/1123 , A61B5/4812 , A61B5/681 , A61B2560/0209 , A61B2560/0242 , A61B2562/0219 , A61B2562/0223 , G01C5/00 , G01P13/00 , G01P15/00 , G01S19/19 , G01S19/48 , H04B1/385 , H04L67/12 , H04W4/027 , H04W4/80 , Y02D70/00 , Y02D70/142 , Y02D70/144 , Y02D70/162 , Y02D70/164 , Y02D70/166 , Y02D70/26
Abstract: Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques, systems, and apparatuses are discussed herein for providing power-conserving techniques and systems for efficiently utilizing a GPS receiver are described. The positional fix frequency of the GPS receiver may, according to some implementations, be modified or adjusted between various levels according to data from one or more non-GPS sensors. Such non-GPS sensors may include, for example, ambient light intensity or spectrum sensors, accelerometers, gyroscopes, magnetometers, heart rate sensors, galvanic skin response sensors, infrared sensors, etc.
Abstract translation: 本文讨论了包括可在这些装置中实现的各种技术的生物特征监视装置。 另外，本文讨论了用于提供节能技术的技术，系统和装置，以及用于有效利用GPS接收机的系统。 根据一些实施方式，GPS接收机的位置固定频率可以根据来自一个或多个非GPS传感器的数据在各个级别之间进行修改或调整。 这样的非GPS传感器可以包括例如环境光强度或频谱传感器，加速度计，陀螺仪，磁力计，心率传感器，电偶皮肤响应传感器，红外传感器等。
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公开(公告)号：US12201442B2
公开(公告)日：2025-01-21
申请号：US18467229
申请日：2023-09-14
Applicant: Fitbit, Inc.
Inventor： Hao-Wei Su , Logan Alexander Niehaus , Conor Joseph Heneghan , Jonathan David Charlesworth , Subramaniam Venkatraman , Shelten Gee Jao Yuen
Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.
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公开(公告)号：US11793453B2
公开(公告)日：2023-10-24
申请号：US16890931
申请日：2020-06-02
Applicant: Fitbit, Inc.
Inventor： Hao-Wei Su , Logan Niehaus , Conor Joseph Heneghan , Jonathan David Charlesworth , Subramaniam Venkatraman , Shelten Gee Jao Yuen
CPC classification number: A61B5/4809 , A61B5/02416 , A61B5/0816 , A61B5/1102 , A61B5/681 , A61B5/742 , G10L25/51
Abstract: Approaches described herein can capture an audio signal using at least one microphone while a user of an electronic device is determined to be asleep. At least one audio frame can be determined from the audio signal. The at least one audio frame represents a spectrum of frequencies detected by the at least one microphone over some period of time. One or more sounds associated with the at least one audio frame can be determined. Sleep-related information can be generated. The information identifies the one or more sounds as potential sources of sleep disruption.
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公开(公告)号：US10194836B2
公开(公告)日：2019-02-05
申请号：US15464018
申请日：2017-03-20
Applicant: Fitbit, Inc.
IPC: A61B5/00 , A61B5/01 , A61B5/11 , A61B8/06 , H04W4/02 , A61B5/024 , A61B5/053 , G01S19/14 , G01S19/49 , G06F19/00 , H04L29/08 , A61B5/0402 , A61B5/0488 , H04W4/80
Abstract: Biometric monitoring devices, including various technologies that may be implemented in such devices, are discussed herein. Additionally, techniques for enhancing GPS speed and distance measurements based on step counts measured by a biometric monitoring device are provided. Such techniques may, in some implementations, involve blending two independently-measured data streams of raw distance traveled—one based on inter-coordinate GPS coordinate distances and one based on step count and stride length—using a Kalman filter to provide an enhanced-accuracy measurement of distance or speed traveled. In some other or additional implementations, distances or speeds calculated based on inter-coordinate GPS coordinate distances may be smoothed with a smoothing constant that is proportional to the variance in measured step count.
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