Chemical Compositon And Its Devlivery For Lowering The Risks Of Alzheimer's Cardiovascular And Type -2 Diabetes Diseases

• US 20160004298A1
• Filed: 07/01/2014
• Published: 01/07/2016
• Est. Priority Date: 04/07/2008
• Status: Active Grant

• Current Assignee: Mohammad A. Mazed, Sayeeda Mazed
• Original Assignee: Mohammad A. Mazed, Sayeeda Mazed
• Inventors: Mazed, Mohammad A., Mazed, Sayeeda
• Granted Patent: US 9,823,737 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2090/365 augmented reality, i.e. correlating a live optical image with another image
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06T 19/006 Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06V 20/20 in augmented reality scenes
• CPC Class Codes: G06V 40/168 Feature extraction; Face representation
• CPC Class Codes: G09G 2380/02 Flexible displays
• CPC Class Codes: G09G 2380/08 Biomedical applications
• CPC Class Codes: G09G 3/001 using specific devices not provided for in groups G09G3/02 - G09G3/36, e.g. using an intermediate record carrier such as a film slide; Projection systems; Display of non-alphanumerical information, solely or in combination with alphanumerical information, e.g. digital display on projected diapositive as background slide projectors per se G03B23/00 = 42 HP
• CPC Class Codes: G09G 3/03 specially adapted for displays having non-planar surfaces, e.g. curved displays
• CPC Class Codes: G09G 3/346 based on modulation of the reflection angle, e.g. micromirrors micromirrors devices per se G02B26/0833
• CPC Class Codes: G10L 15/00 Speech recognition G10L17/00 takes precedence
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G16C 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: H01L 2224/48091 Arched
• CPC Class Codes: H01L 2924/00014 the subject-matter covered by the group, the symbol of which is combined with the symbol of this group, being disclosed without further technical details
• CPC Class Codes: H04N 23/00 Cameras or camera modules comprising electronic image sensors; Control thereof
• CPC Class Codes: H04N 23/21 from near infrared [NIR] radiation
• CPC Class Codes: H04N 5/33 Transforming infrared radiation cameras or camera modules for generating image signals from infrared radiation H04N23/20; circuitry of SSIS for transforming infrared radiation into image signals H04N25/20
• CPC Class Codes: H04W 4/02 : Services making use of location information
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Chemical compositions of bioactive compounds and/or bioactive molecules for lowering the risks of Alzheimer'"'"'s, Cardiovascular and Diabetes diseases are described. Targeted, passive and programmable/active deliveries of the bioactive compounds and/or bioactive molecules are described. Many embodiments of various subsystems for detection of disease specific biomarkers/an array of disease specific biomarkers and programmable/active delivery of the bioactive compounds and/or bioactive molecules in near real-time/real-time are also described. A portable internet appliance, a portable internet cloud appliance and an augmented reality personal assistant subsystem are also described along with various applications.

Claims

1. A subsystem, as an augmented reality personal assistant comprising:

a camera, a display, a projector, a first sensor and a decoder, wherein the first sensor is configured to read an item or a person in a user'"'"'s field of view and wherein the decoder is configured to convert the said reading of the item or the person into a text or an image.

2. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a multi-spectral band camera, wherein the multi-spectral band encompasses visible, near-infrared and infrared part of the optical spectrum.

3. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a second sensor selected from the group consisting of;

an eye motion sensor, a gesture sensor and a touch sensor.

4. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a component selected from the group consisting of;

a contact lens and a contact lens integrated with a nanostructure.

5. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a component selected from the group consisting of;

a microphone and an audio recording buffer module.

6. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a location determination module.

7. The subsystem, as an augmented reality personal assistant according to claim 1, is further configured with a microprocessor.

8. The subsystem, as an augmented reality personal assistant according to claim 7, is further configured with an algorithm selected from the group consisting of:

an operating algorithm, a face recognition algorithm, a gesture recognition algorithm, a sound recognition algorithm, a voice recognition algorithm and a voice-to-text conversion algorithm.

9. The subsystem, as an augmented reality personal assistant according to claim 7, is further configured with:

an intelligent learning algorithm.

10. The subsystem, as an augmented reality personal assistant according to claim 7, is further configured with:

a software agent.

11. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a wireless module selected from the group consisting of;

a radio transceiver, a millimeter wave transceiver and a terahertz band transceiver.

12. The subsystem, as an augmented reality personal assistant according to claim 1, further comprises:

a component selected from the group consisting of;

a solar cell, a powering unit and a power skin.

13. The subsystem, as an augmented reality personal assistant according to claim 1, is further configured for connection with a component selected from the group consisting of:

a third sensor, a radio frequency identification device (RFID) tag and a near field communication (NFC) tag.

14. The subsystem, as an augmented reality personal assistant according to claim 1, is further configured for connection with a portable internet appliance, wherein the portable internet appliance further comprises:

a transceiver module selected from the group consisting of;

a radio transceiver, a millimeter wave transceiver and a terahertz band transceiver.

15. The portable internet appliance according to claim 14, further comprises:

a digital personal assistant.

16. The portable internet appliance according to claim 14, further comprises:

a personal awareness assistant module.

17. A subsystem, as an augmented reality personal assistant configured to generate a user'"'"'s social graph or personal analytics comprising:

(a) a camera;

(b) a display;

(c) a microphone;

(d) a location determination module;

(e) a sensor selected from the group consisting of;

an eye motion sensor, a gesture sensor and a touch sensor;

(f) a transceiver module selected from the group consisting of;

a radio transceiver, a millimeter wave transceiver and a terahertz band transceiver;

(g) a component selected from the group consisting of;

a solar cell, a powering unit and a power skin; and

(h) a microprocessor;

wherein the microprocessor is configured with a first operating algorithm,

wherein the microprocessor is further configured to communicated with a second algorithm selected from the group consisting of;

a face recognition algorithm, a gesture recognition algorithm, a sound recognition algorithm, a voice recognition algorithm and a voice-to-text conversion algorithm,

wherein the subsystem, as an augmented reality personal assistant configured to generate a user'"'"'s social graph or personal analytics utilizes a social graph or personal analytics generating algorithm,

wherein the social graph or personal analytics generating algorithm comprises computer implementable instructions to analyze the user'"'"'s behavior,

wherein the social graph or personal analytics generating algorithm comprises computer implementable instructions to learn the user'"'"'s behavior,

wherein the social graph or personal analytics generating algorithm is configured to communicate with the microprocessor,

wherein the social graph or personal analytics generating algorithm is further configured to communicate with the location determination module,

wherein the social graph or personal analytics generating algorithm is stored in a local data storage media of the subsystem, as an augmented reality personal assistant or in a cloud based data storage media.

18. The subsystem, as an augmented reality personal assistant according to claim 17, further comprises:

a digital personal assistant.

19. A subsystem, as an augmented reality personal assistant configured to eavesdrop on a user'"'"'s communication comprising:

(a) a camera;

(b) a display;

(c) a microphone;

(d) a location determination module;

(e) a sensor selected from the group consisting of;

an eye motion sensor, a gesture sensor and a touch sensor;

(f) a transceiver module selected from the group consisting of;

a radio transceiver, a millimeter wave transceiver and a terahertz band transceiver;

(g) a component selected from the group consisting of;

a solar cell, a powering unit and a power skin; and

(h) a microprocessor;

wherein the microprocessor is configured with a first operating algorithm,

wherein the microprocessor is further configured to communicated with a second algorithm selected from the group consisting of;

a face recognition algorithm, a gesture recognition algorithm, a sound recognition algorithm, a voice recognition algorithm and a voice-to-text conversion algorithm,

wherein the subsystem, as an augmented reality personal assistant configured to eavesdrop on a user'"'"'s communication utilizes an algorithm for interpreting the user'"'"'s communication,

wherein the algorithm for interpreting the user'"'"'s communication comprises computer implementable instructions to interpret the user'"'"'s communication in a natural language,

wherein the algorithm for interpreting the user'"'"'s communication comprises computer implementable instructions to learn the user'"'"'s communication,

wherein the algorithm for interpreting the user'"'"'s communication is configured to communicate with the microprocessor,

wherein the algorithm for interpreting the user'"'"'s communication is further configured to communicate with the location determination module,

wherein the algorithm for interpreting the user'"'"'s communication is stored in a local data storage media of the subsystem, as an augmented reality personal assistant or in a cloud based data storage media.

20. The subsystem, as an augmented reality personal assistant according to claim 19, further comprises:

a personal awareness assistant module.