Methods using wearable device with unique user ID and telemetry system

• US 9,407,097 B2
• Filed: 06/21/2013
• Issued: 08/02/2016
• Est. Priority Date: 03/04/2013
• Status: Active Grant

• Current Assignee: Fitbit, Inc. (Alphabet Inc.)
• Original Assignee: Hello, Inc.
• Inventors: Proud, James
• Primary Examiner(s): Benlagsir, Amine
• Application Number:
  US13/923,909
• Publication Number:
  US 20140247134A1
• Time in Patent Office: 1,138 Days
• Field of Search: 340/870.01, 600/534, 600/545
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0214 of power generation or supply
• CPC Class Codes: A61B 2562/08 Sensors provided with means for identification, e.g. barcodes or memory chips
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/0015 characterised by features of the telemetry system
• 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: G06F 8/65 Updates security arrangements therefor G06F21/57
• CPC Class Codes: G06Q 20/321 using wearable devices
• CPC Class Codes: G06Q 20/384 using social networks
• CPC Class Codes: G08C 17/02 using a radio link
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: H02J 2310/23 The load being a medical device, a medical implant, or a life supporting device
• CPC Class Codes: H02J 50/005 Mechanical details of housing or structure aiming to accommodate the power transfer means, e.g. mechanical integration of coils, antennas or transducers into emitting or receiving devices
• CPC Class Codes: H02J 50/12 of the resonant type
• CPC Class Codes: H02J 50/20 using microwaves or radio frequency waves
• CPC Class Codes: H02J 50/40 using two or more transmitting or receiving devices H02J50/50 takes precedence
• CPC Class Codes: H02J 50/70 involving the reduction of electric, magnetic or electromagnetic leakage fields
• CPC Class Codes: H02J 50/80 involving the exchange of data, concerning supply or distribution of electric power, between transmitting devices and receiving devices
• CPC Class Codes: H02J 50/90 involving detection or optimisation of position, e.g. alignment
• CPC Class Codes: H02J 7/00034 : Charger exchanging data with an electronic device, i.e. telephone, whose internal battery is under charge
• CPC Class Codes: H04L 67/535 : Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: Y02D 10/00 : Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A method for using telemetry data based on a user habit information user one or more sensors coupled to a wearable device that has a unique user ID, and acquire user information selected from of at least one of, a user'"'"'s activities, behaviors and habit information. The wearable device includes ID circuitry that includes ID storage, a communication system which reads and transmits the unique ID from the ID storage, a power source and a pathway system to route signals through the circuitry. The telemetry system communicates with the one or more sensors. The telemetry system includes a database of user ID'"'"'s. Telemetry data is analyzed using the telemetry system based on at least one of, user'"'"'s activities, behaviors and habit information. Personalized information about the user is created.

Claims

1. A method for using telemetry data, comprising:

using a wearable person monitoring device that includes a microphone, an RF transmitter and sensors to determine air quality, sound level, sound quality, light quality and ambient temperature near a person, the RF transmitter serving as a communication system;

using an accelerometer configured to detect a person'"'"'s movement information, the accelerometer and the wearable person monitoring device configured to assist to determine a person'"'"'s sleep information and a person'"'"'s sleep behavior information, the microphone configured to record a person'"'"'s movement sounds detected by the accelerometer, the accelerometer configured to cause the microphone to stop recording the person'"'"'s movement sounds when the person'"'"'s movement sounds are not directed to a sleep related parameter;

analyzing the person'"'"'s movement information, the person'"'"'s sleep information and the person'"'"'s sleep behavior information to calculate or derive sleep onset and wake time, sleep interruptions, and quality and depth of sleep; and

communicating between a telemetry system and the wearable person monitoring device, the telemetry system including a database of the person'"'"'s sleep information and the person'"'"'s sleep behavior information;

using ID circuitry to crunch information and a control system to orchestrate communication between different systems;

using a noise reduction element at the wearable person monitoring device to reduce signal noise; and

switching between incremental and full syncing of the sleep related parameter.

2. The method of claim 1, further comprising:

using logic resources at the wearable person monitoring device.

3. The method of claim 1, further comprising:

communicating signals from the wearable person monitoring device.

4. The method of claim 1, further comprising:

using a CPU to evaluate the sleep related parameter of the person.

5. The method of claim 1, further comprising:

using the telemetry system to create different classifications for the sleep related parameter of the person.

6. The method of claim 1, further comprising:

providing firmware updates to the wearable person monitoring device.

7. The method of claim 1, wherein streams of information relating to the wearable person monitoring device can include encrypted and non-encrypted information.