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公开(公告)号:US11626031B2
公开(公告)日:2023-04-11
申请号:US16442304
申请日:2019-06-14
Applicant: Fitbit, Inc.
Inventor: Jacob Antony Arnold , Yeqing Cheng , Yasaman Baiani , Allison Maya Russell
IPC: G09B19/00 , G09B5/00 , G06F3/0484 , A61B5/00 , G06F3/0481 , G06F3/04842 , A61B5/11
Abstract: Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.
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公开(公告)号:US20220265208A1
公开(公告)日:2022-08-25
申请号:US17690369
申请日:2022-03-09
Applicant: Fitbit, Inc.
Inventor: Conor Joseph Heneghan , Jacob Anthony Arnold , Zachary Todd Beattie , Alexandros A. Pantelopoulos , Allison Maya Russell , Philip Foeckler , Adrienne M. Tucker , Delisa Lopez , Belen Lafon , Atiyeh Ghoreyshi
Abstract: A system, computer-readable storage medium, and a method capable of, directly or indirectly, estimating sleep states of a user based on sensor data from movement sensors and/or optical sensors.
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公开(公告)号:US20170347949A1
公开(公告)日:2017-12-07
申请号:US15199113
申请日:2016-06-30
Applicant: Fitbit, Inc.
Inventor: Jacob Antony Arnold , Yeqing Cheng , Yasaman Baiani , Allison Maya Russell
IPC: A61B5/00 , G06F3/0481 , G06F3/0484
CPC classification number: G09B19/00 , A61B5/1118 , A61B5/4806 , A61B5/4809 , A61B5/4812 , A61B5/4815 , A61B5/486 , A61B5/7405 , A61B5/742 , A61B5/743 , A61B5/7455 , A61B5/7475 , G06F3/0481 , G06F3/0484 , G06F3/04842 , G09B5/00
Abstract: Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.
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公开(公告)号:US12114959B2
公开(公告)日:2024-10-15
申请号:US17484665
申请日:2021-09-24
Applicant: Fitbit, Inc.
Inventor: Jacob Antony Arnold , Allison Maya Russell , Zachariah Lord Wasson, II , Shelten Gee Jao Yuen
IPC: A61B5/00 , A61B5/0205 , A61B5/11 , G08B21/04 , G16H20/30 , G16H20/40 , G16H40/63 , A61B5/021 , A61B5/024 , A61B5/0533 , A61B5/22 , G01C22/00
CPC classification number: A61B5/0022 , A61B5/02055 , A61B5/1116 , A61B5/681 , A61B5/7264 , A61B5/746 , G08B21/0415 , G16H20/30 , G16H20/40 , G16H40/63 , A61B5/021 , A61B5/02416 , A61B5/0533 , A61B5/1118 , A61B5/1123 , A61B5/222 , A61B5/4809 , A61B5/7267 , A61B5/743 , A61B2560/0209 , A61B2560/0242 , A61B2562/0219 , G01C22/006
Abstract: Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a plurality of moments of interest. Based on the MET measures and a time period for which the MET measures exceed a threshold value, it is determined whether the user is in a sedentary state. If the user is in the sedentary state, the user is provided a notification to encourage the user to perform a non-sedentary activity.
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公开(公告)号:US11864723B2
公开(公告)日:2024-01-09
申请号:US17219242
申请日:2021-03-31
Applicant: Fitbit, Inc.
Inventor: Allison Maya Russell , Zachary Todd Beattie , Alexander Statan , Emma Jane Quinn
IPC: H04N5/44 , A61B5/00 , A61B5/02 , A61B5/0205 , A61B5/24
CPC classification number: A61B5/4806 , A61B5/02 , A61B5/4815 , A61B5/681 , A61B5/6824 , A61B5/0004 , A61B5/0205 , A61B5/24 , A61B5/486 , A61B5/742 , A61B5/744 , A61B5/7405 , A61B5/7475 , A61B2505/07
Abstract: Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.
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公开(公告)号:US11129534B2
公开(公告)日:2021-09-28
申请号:US16700006
申请日:2019-12-02
Applicant: Fitbit, Inc.
Inventor: Jacob Antony Arnold , Allison Maya Russell , Zachariah Lord Wasson, II , Shelten Gee Jao Yuen
IPC: G08B21/04 , G16H40/63 , A61B5/11 , A61B5/00 , A61B5/0205 , G16H20/40 , G16H20/30 , A61B5/021 , A61B5/024 , A61B5/22 , G01C22/00 , A61B5/0533
Abstract: Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a plurality of moments of interest. Based on the MET measures and a time period for which the MET measures exceed a threshold value, it is determined whether the user is in a sedentary state. If the user is in the sedentary state, the user is provided a notification to encourage the user to perform a non-sedentary activity.
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公开(公告)号:US20190392727A1
公开(公告)日:2019-12-26
申请号:US16414780
申请日:2019-05-17
Applicant: Fitbit, Inc.
Inventor: Yeqing Cheng , Yasaman Baiani , Jacob Antony Arnold , Allison Maya Russell , Alan McLean
Abstract: Methods, systems, and computer programs are presented for holding the generation of alarm and congratulatory messages. One method includes an operation for capturing motion data using an activity tracking device. Intervals during a day are identified, each interval including a start and an end time, and a near-end time being defined between the start and end times. Another operation is for generating a first notification for display on the activity tracking device when the near-end time of the current interval is reached and the steps taken by the user during the current interval is less than a goal of a predetermined number of steps. Further, the method includes operations for receiving a hold command with a hold period, and for suspending the generation of the first notification during the hold period. After the hold period expires, the generation of the first notification is resumed without requiring user input.
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公开(公告)号:US10311745B2
公开(公告)日:2019-06-04
申请号:US15192455
申请日:2016-06-24
Applicant: Fitbit, Inc.
Inventor: Jacob Antony Arnold , Yeqing Cheng , Yasaman Baiani , Allison Maya Russell
IPC: G09B19/00 , G09B5/00 , A61B5/00 , G06F3/0481 , G06F3/0484 , A61B5/11
Abstract: Methods, techniques, apparatuses, and systems for setting up and tracking sleep consistency goals of users are provided. In one example, a computing system for setting a sleep schedule of a user of a biometric monitoring device may obtain sleep data derived from sensor data generated by the biometric monitoring device, store the sleep data in a sleep log data store as one or more sleep logs associated with an account assigned to the user, and calculate a target bedtime based on a scheduled waketime of the user and a sleep efficiency derived, at least in part, from the sleep data for one or more users stored in the sleep log data store. The computing system may also be configured to provide a number of personalized user interfaces to an individual for the purposes of setting a sleep schedule. Such interfaces may include parameters that are tailored to the individual sleep needs and/or characteristics of the individual's sleep.
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公开(公告)号:US11207021B2
公开(公告)日:2021-12-28
申请号:US15438643
申请日:2017-02-21
Applicant: Fitbit, Inc.
Inventor: Conor Joseph Heneghan , Jacob Antony Arnold , Zachary Todd Beattie , Alexandros A. Pantelopoulos , Allison Maya Russell , Philip Foeckler , Adrienne M. Tucker , Delisa Lopez , Belen Lafon , Atiyeh Ghoreyshi
Abstract: A system, computer-readable storage medium, and a method capable of, directly or indirectly, estimating sleep states of a user based on sensor data from movement sensors and/or optical sensors.
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公开(公告)号:US10980471B2
公开(公告)日:2021-04-20
申请号:US16781969
申请日:2020-02-04
Applicant: Fitbit, Inc.
Inventor: Allison Maya Russell , Zachary Todd Beattie , Alexander Statan , Emma Jane Quinn
IPC: A61B5/00 , A61B5/02 , A61B5/0205 , A61B5/04
Abstract: Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.
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