Method and apparatus to provide monitoring

• US 10,335,060 B1
• Filed: 06/19/2010
• Issued: 07/02/2019
• Est. Priority Date: 06/19/2010
• Status: Active Grant

• Current Assignee: DP Technologies, Inc.
• Original Assignee: DP Technologies, Inc.
• Inventors: Kahn, Philippe, Kinsolving, Arthur
• Primary Examiner(s): Cerioni, Daniel L
• Application Number:
  US12/819,195
• Time in Patent Office: 3,300 Days
• Field of Search: 600595, 600587
• CPC Class Codes: A61B 2560/0209 adapted for power saving
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2560/0443 Modular apparatus
• CPC Class Codes: A61B 2562/227 Sensors with electrical connectors
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/222 combined with detection or measurement of physiological parameters, e.g. heart rate
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/486 Bio-feedback A61B5/375 takes precedence
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: H04B 1/385 Transceivers carried on the body, e.g. in helmets
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information

Abstract

An activity band designed to be wearable 24 hours a day, and able to monitor the user'"'"'s activity level when awake and asleep, comprising an accelerometer to detect motion of a user, a first interface to enable the activity band to be coupled to a computer system, and an analysis logic to analyze the user'"'"'s motion.

Claims

1. A system comprising:

an activity monitor configured to be worn by a user, the activity monitor configured to monitor a plurality of observed behaviors while the observed behaviors are occurring, in real time including;

the user'"'"'s sleep, the user'"'"'s daily activity including steps taken, and the user'"'"'s sport activity; and

a processor configured to correlate the user'"'"'s sleep quality and daily activity based on the user'"'"'s sleep and the user'"'"'s daily activity and to correlate sport performance and sleep level, which includes sleep quality and sleep length, based on the user'"'"'s sport activity and the user'"'"'s sleep;

wherein the user'"'"'s sleep quality and daily activity are determined to be positively correlated based on a relationship between statistical levels of the user'"'"'s sleep and the user'"'"'s daily activity, and wherein sport performance and sleep level, which includes sleep quality and sleep length, are determined to be positively correlated based on a relationship based on a relationship between statistical levels of the user'"'"'s sport activity and the user'"'"'s sleep; and

a user interface configured to inform the user of a correlation between the user'"'"'s sleep quality and the daily activity, a correlation between the sport performance and the sleep level, and a suggestion based on the correlations that would provide a better result with respect to at least one or more of the observed behaviors.

2. The system of claim 1, wherein the suggestion comprises advising the user to perform daily activities at one of:

a different time of day, a different frequency, a different duration, a different intensity, or to change activity type, wherein the better result comprises an improvement of one or more of;

sleep quality, sport performance, and overall health status.

3. The system of claim 1, wherein the activity monitor comprises a band configured to be worn continuously.

4. The system of claim 1, wherein the activity monitor further comprises a device interface configured to couple the activity monitor to a computer system.

5. The system of claim 1, further comprising:

the user interface further configured to provide feedback to the user to show the user'"'"'s progress toward activity goals, and to alert the user of actions required to reach activity goals.

6. The system of claim 5, wherein the user interface is configured to provide one of a visual feedback, an audio feedback, and a tactile feedback, or is further configured to send a message to a separate device.

7. The system of claim 5, wherein the user interface comprises a light emitting diode (LED).

8. The system of claim 1, further comprising:

the processor further configured to utilize motion data to determine compliance with ergonomic standards to ensure the user'"'"'s movements follow proper ergonomic form in at least one of;

posture, stretching, and repetitive activities, and to alert the user when the user'"'"'s movements fail to follow proper ergonomic form.

9. The system of claim 1, wherein the activity monitor comprises an activity band, the activity band configured to be programmed with an identity of the user for access to a controlled location or device.

10. The system of claim 1, wherein the activity monitor comprises a band including a core section with a device interface, and a removable garment section configured to enable the band to be worn by the user.

11. A method comprising:

Monitoring in real-time a plurality of motion-based observed behaviors of a user, including a user'"'"'s sleep, daily activity including steps taken, and sport activity using an activity monitor worn by the user;

providing a suggestion that the user wear the activity monitor at night when no data about the user'"'"'s sleep is available;

correlating the user'"'"'s sleep quality and daily activity, and sport performance and sleep level, where sleep level includes sleep quality and sleep length, to determine relationships between the observed behaviors;

wherein the user'"'"'s sleep quality and daily activity are determined to be positively correlated based on a relationship between statistical levels of the user'"'"'s sleep and the user'"'"'s daily activity, and wherein sport performance and sleep level, which includes sleep quality and sleep length, are determined to be positively correlated based on a relationship based on a relationship between statistical levels of the user'"'"'s sport activity and the user'"'"'s sleep; and

advising the user to change one or more of the observed behaviors based on the determined correlation between the plurality of observed behaviors in order to provide a better result with respect to one or more of the observed behaviors.

12. The method of claim 11, wherein advising the user comprises suggesting that the user perform daily activities at one of:

a different time of day, a different frequency, a different duration, a different intensity, or to select a different activity type, based on the correlation, to improve one or more of;

sleep quality, sport performance or overall health status.

13. The method of claim 11, wherein the activity monitor comprises an activity band configured to be worn continuously.

14. The method of claim 11, further comprising:

providing feedback to the user through a user interface providing one of;

local audio, visual, or tactile feedback, or through a separate device configured to receive a feedback message.

15. The method of claim 11, wherein the plurality of motion-based observed behaviors further include compliance with ergonomic standards to ensure the user'"'"'s movements follow proper ergonomic form in at least one of:

posture, stretching, and repetitive activities, and wherein the method further comprises alerting the user when the user'"'"'s movements fail to follow proper ergonomic form.

16. An activity monitor configured to be worn by a user comprising:

a motion data processor configured to receive motion data in real time from one or more sensors;

a second processor configured to analyze the user'"'"'s observed behaviors based on the received motion data, the observed behaviors including;

sleep, daily activity including steps taken, and sport activity; and

the second processor further configured to correlate sleep quality and user activity, and sport performance and sleep level, where sleep level includes sleep quality and sleep length;

wherein the user'"'"'s sleep quality and daily activity are determined to be positively correlated based on a relationship between statistical levels of the user'"'"'s sleep and the user'"'"'s daily activity, and wherein sport performance and sleep level, which includes sleep quality and sleep length, are determined to be positively correlated based on a relationship based on a relationship between statistical levels of the user'"'"'s sport activity and the user'"'"'s sleep; and

a user interface configured to provide data based on the correlation to the user, the user interface further configured to provide a suggestion that the user wear the activity monitor at night when no sleep data is available.

17. The activity monitor of claim 16, further comprising:

the user interface further configured to, based on the correlation and to improve one or more of sleep quality or sport performance, advise the user to perform daily activities at one of;

a different time of day, a different frequency, a different duration, a different intensity, or to advise to the user to perform a different activity type.

18. The activity monitor of claim 16, further comprising:

a connector configured to couple the activity monitor to a computer.

19. The activity monitor of claim 16, wherein the user interface is configured to provide one of a visual feedback, an audio feedback, and a tactile feedback, or the user interface is configured to send a message to a separate device.

20. The activity monitor of claim 16, further comprising:

the second processor configured to utilize the motion data to determine compliance with ergonomic standards to ensure the user'"'"'s movements follow proper ergonomic form in at least one of;

posture, stretching, and repetitive activities, and to alert the user when the user'"'"'s movements fail to follow proper ergonomic form.