DATA-CAPABLE STRAPBAND

• US 20130173171A1
• Filed: 06/07/2012
• Published: 07/04/2013
• Est. Priority Date: 06/10/2011
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: Drysdale, Richard Lee, Fullam, Scott, Orvis, Skip Thomas, Levinson, Nora Elam
• Application Number:
  US13/491,345
• Publication Number:
  US 20130173171A1
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/164 the sensor is mounted in or on a conformable substrate or carrier
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: G01D 21/02 Measuring two or more variables by means not covered by a single other subclass
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

Embodiments relate to a band including sensors to detect motion and a motion matcher configured to capture data representative of the motion. The motion matcher can also identify an activity associated with the motion. The band transitions from one mode of operation to another as a function of the activity. Further, the band can include a controller and a memory storing data representing motion patterns. The controller is configured to select a mode of operation as a function of a motion pattern.

Claims

1. A method, comprising:

receiving activity-related data including at least a subset of data representative of a motion originating from a wearable device;

determining an activity by matching the activity-related data to at least one set of other activity-related data; and

transitioning the wearable device from a first mode to a second mode, the second mode being determined by the activity.

2. The method of claim 1, wherein the activity-related data includes a subset of data representative of at least one physiological attribute.

3. The method of claim 1, wherein the activity-related data includes a subset of data representative of at least one environmental attribute.

4. The method of claim 1, wherein the activity-related data includes a first subset of data representative of at least one physiological attribute and a second subset of data representative of at least one environmental attribute.

5. The method of claim 1, further comprising:

determining a motion pattern based on the activity-related data; and

determining the activity by comparing the motion pattern with motion profiles.

6. The method of claim 5, wherein the motion profile is stored on a remote device.

7. The method of claim 1, further comprising:

receiving a user-initiated input; and

transitioning the wearable device from the first mode to the second mode, the second mode being determined by the user-initiated input.

8. The method of claim 7, wherein the user-initiated input is a multi-directional button.

9. The method of claim 1, further comprising:

receiving the activity-related data;

determining the activity is sleeping by matching the activity-related data to activity-related data representative of sleep; and

transitioning the wearable device from the first mode to a sleep mode.

10. The method of claim 9, further comprising:

determining the activity is normal activity by matching the activity-related data to activity-related data representative of a normal activity; and

transitioning the wearable device from sleep mode to a normal mode

11. A wearable device, comprising:

one or more sensors configured to detect motion;

one or more sensors configured to detect at least one physiological attribute;

one or more sensors configured to detect at least one environmental attribute;

a mode controller configured to capture a first subset of data representative of a motion, to capture a second subset of data representative of at least one physiological attribute, and to capture a third subset of data representative of at least one environmental attribute, the mode controller further configured to determine a mode of operation of the wearable device based on the first subset of data representative of a motion, the second subset of data representative of at least one physiological attribute, and the third subset of data representative of at least one environmental attribute,

wherein the wearable device transitions from a first mode to a second mode as a function of the mode of operation.

12. The wearable device of claim 11, further comprising:

a motion matcher configured to capture data representative of the motion to determine an activity by matching the data representative of the motion to data representative of motion patterns,

wherein the mode controller is further configured to determine the mode of operation based on the activity, the second subset of data representative of at least one physiological attribute, and the third subset of data representative of at least one environmental attribute.

13. The wearable device of claim 12, wherein the data representative of motion patterns is motion profile data, the motion profile data being the motion patterns of different types of pre-determined activities.

14. The wearable device of claim 12, wherein the data representative of motion patterns is motion reference data, the motion reference data being the motion patterns defined by the characteristics of motion actions in which a user has performed.

15. The wearable device of claim 11, further comprising one or more user-initiated input mechanisms to transmit a user-initiated signal, wherein the wearable device transitions from the first mode to the second mode as a function of the user-initiated signal.

16. The wearable device of claim 11, further comprising:

a memory configured to store the data representative of motion patterns; and

a motion matcher configured to match the data representative of a motion to the data representative of motion patterns stored in the memory.

17. The wearable device of claim 11, wherein the activity is sleeping, and the wearable device transitions from the first mode to sleep mode.

18. The wearable device of claim 11, wherein the activity is normal, and the wearable device transitions from sleep mode to normal mode.