WEARABLE SYSTEM

• US 20160226542A1
• Filed: 04/11/2016
• Published: 08/04/2016
• Est. Priority Date: 08/28/2014
• Status: Abandoned Application

• Current Assignee: Bao Tran, Ha Tran
• Original Assignee: Bao Tran, Ha Tran
• Inventors: Tran, Bao, Tran, Ha
• Application Number:
  US15/096,041
• Publication Number:
  US 20160226542A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A44C 5/0015 providing information, e.g. bracelets with calendars identification bracelets G09F3/005
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02141 Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits A61B5/02233, A61B5/0235 take precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/091 Measuring volume of inspired or expired gases, e.g. to determine lung capacity
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/332 Portable devices specially adapted therefor
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4872 Body fat
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: G06F 1/163 Wearable computers, e.g. on a belt
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: H04B 1/385 Transceivers carried on the body, e.g. in helmets
• CPC Class Codes: H04B 1/3888 Arrangements for carrying or protecting transceivers
• CPC Class Codes: H04B 2001/3855 carried in a belt or harness
• CPC Class Codes: H04B 2001/3861 carried in a hand or on fingers
• CPC Class Codes: H04M 1/72412 using two-way short-range wireless interfaces
• CPC Class Codes: H04W 4/70 : Services for machine-to-machine communication [M2M] or machine type communication [MTC]
• CPC Class Codes: H04W 4/80 : Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

A wearable device includes a band having a flexible battery integrally formed therein; a processor powered by the flexible battery; a cellular transceiver to make a phone call; a WiFi transceiver and personal area network (PAN) transceiver coupled to the processor; a microphone to receive user speech and a speech recognizer to process user speech or provide voice control; and a health application communicating health application data with a remote computer, wherein the health application includes computer readable code to store and analyze user fitness information including one or more of: posture, ambulation, location position, sleep, exercise, calorie, or medicine compliance.

Claims

1. A wearable device, comprising:

a band having a flexible battery integrally formed therein;

a processor powered by the flexible battery;

a cellular transceiver to make a phone call;

a WiFi transceiver and personal area network (PAN) transceiver coupled to the processor;

a microphone to receive user speech and a speech recognizer to process user speech or provide voice control; and

a health application communicating health application data with a remote computer, wherein the health application includes computer readable code to store and analyze user fitness information including one or more of;

posture, ambulation, location position, sleep, exercise, calorie, or medicine compliance.

2. The device of claim 1, wherein the device captures heart data using a heart sensor or a heart rate sensor.

3. The device of claim 2, wherein heart data is used to authenticate or identify a user for accessing a computer.

4. The device of claim 1, wherein the digital wearable device comprises a pedometer, a positioning system, or an exercise tracker.

5. The device of claim 1, comprising an energy harvesting device to generate electricity from movement.

6. The device of claim 5, comprising a magnetic pendulum rotor rotatably coupled to a shaft above a planar metal.

7. The device of claim 1, wherein the wrist bands store or generate electrical energy.

8. The device of claim 1, wherein the band comprises a curved flexible display coupled to an power unit to store or generate electrical energy.

9. The device of claim 1, comprising a display circuitry that selectively transitions between being opaque and transparent to enable a user to view a surface under the wearable device.

10. The device of claim 1, comprising a material chamber in the band with one or more chemicals including medicine or adhesive.

11. The device of claim 1, comprising a chamber for collecting tissue material and mixing with a substance for chemical analysis.

12. The device of claim 1, comprising a touch-sensitive flexible display section from display pixel array layer and optional touch sensor layer.

13. The device of claim 1, comprising a touch-sensitive flexible display section with an actuator that deforms the display to provide a desired tactile sensation on the surface of display to a user.

14. The device of claim 1, comprising comprising an actuator that deforms the display to play sound as a speaker.

15. The device of claim 1, comprising an actuator that detects vibrations in the display to capture sound.

16. The device of claim 1, comprising an actuator to temporarily create raised ridges or external features on the surface of the flexible display section.

17. The device of claim 1, comprising apiezoelectric actuator to detect actuation or provide tactile feedback.

18. The device of claim 1, comprising a unit for monitoring the user with a statistical analyzer, a neural network, a back-propagation neural network, a Hidden Markov Model (HMM).

19. The device of claim 18, comprising a unit for authenticating the user user based on ECG, EMG, EEG, or bioimpedance data.

20. The device of claim 18, comprising a unit for detecting a dangerous condition for the user based on ECG, EMG, EEG, or bioimpedance data.