Sensing systems

Patent metadata

Field	Value
Publication number	US-10180339-B1
Application number	US-201615149477-A
Country	US
Kind code	B1
Filing date	May 9, 2016
Priority date	May 8, 2015
Publication date	Jan 15, 2019
Grant date	Jan 15, 2019

Abstract

A system learns to automatically identify, and detect, contextual conditions that may serve as action triggers to help please a user (or avoid annoying a user). Among other features, a simple sensor arrangement is detailed which, in addition to producing a customary stream of high bandwidth sensor data, provides an output of low bandwidth data. This low-bandwidth data serves to identify a particular reference pattern with which the high-bandwidth sensor data is found to correspond. Such a sensor can employ reference patterns discovered through pseudo-random trials. A great number of other advantageous features and arrangements are also detailed.

First claim

The invention claimed is:

1. A packaged sensing system including:
a sensing element having an output;
a memory having an input and an output, the input being coupled to the output of the sensing element, the memory being adapted to store an array of plural data representing plural physical quantities sensed by the sensing element; and
a matrix module having an input coupled to the output of the memory, said matrix module including circuitry that multiplies data presented by said output of the memory by a matrix of plural coefficients, the matrix module including an output that presents output data based on a result of said multiplication;
wherein the sensing element, the memory and the matrix module are affixed to a common semiconductor substrate; and
wherein said memory is adapted to store an array of four or more data representing a physical quantity sensed by the sensing element at four or more respective previous times.

2. The packaged sensing system of claim 1 in which the matrix of coefficients comprises plural rows of coefficients, and the result of the multiplication is a vector of plural element values, wherein the matrix module is further adapted to produce output data indicating which element of said result vector is the largest.

3. The packaged sensing system of claim 1 that includes additional circuitry for varying said coefficients.

4. The system of claim 1 in which the sensing element comprises a 3D accelerometer, a temperature sensor, a barometric pressure sensor, or a humidity sensor.

5. The system of claim 1 in which:
the memory comprises a shift register having an input coupled to the output of the sensing element, the shift register presenting a temporal vector of at least four sensor values on at least four outputs; and
the matrix module has inputs coupled to the at least four outputs of the shift register, and being adapted to perform a dot product operation between the temporal vector of sensor values and each of plural reference vectors that comprise said matrix of coefficients, the matrix module further being adapted to provide, on a circuit output, an integer datum indicating one of said reference vectors that yielded a largest dot product result.

6. The system of claim 5 in which the plural reference vectors have an order, and the matrix module is adapted to output, on said circuit output, an integer datum indicating an ordinal position of the reference vector yielding the largest dot product, within said order.

7. The system of claim 5 in which at least certain of the plural reference vectors are fixed, and not able to be altered.

8. The system of claim 7 in which at least certain of the plural reference vectors are stored in a memory that allows alteration of said vectors.

9. A sensing system including:
a sensing element having an output;
a memory having an input and an output, the input being coupled to the output of the sensing element, the memory being adapted to store an array of plural data representing plural physical quantities sensed by the sensing element; and
a matrix module having an input coupled to the output of the memory, said matrix module including circuitry that multiplies data presented by said output of the memory by a matrix of plural coefficients, the matrix module including an output that presents output data based on a result of said multiplication;
wherein the sensing element, the memory and the matrix module are affixed to a common substrate; and
wherein the matrix of coefficients comprises plural rows of coefficients, and the result of the multiplication is a vector of plural element values, wherein the matrix module is further adapted to produce output data indicating which element of said result vector is the largest.

10. The sensing system of claim 9 that includes additional circuitry for varying said coefficients.

11. The sensing system of claim 9 in which the sensing element comprises a 3D accelerometer, a temperature sensor, a barometric pressure sensor, or a humidity sensor.

12. The sensing system of claim 9 in which:
the memory comprises a shift register having an input coupled to the output of the sensing element, the shift register presenting a temporal vector of at least four sensor values on at least four outputs; and
the matrix module has inputs coupled to the at least four outputs of the shift register, and being adapted to perform a dot product operation between the temporal vector of sensor values and each of plural reference vectors that comprise said matrix of coefficients, the matrix module further being adapted to provide, on a circuit output, an integer datum indicating one of said reference vectors that yielded a largest dot product result.

13. The sensing system of claim 12 in which the plural reference vectors have an order, and the matrix module is adapted to output, on said circuit output, an integer datum indicating an ordinal position of the reference vector yielding the largest dot product, within said order.

14. The sensing system of claim 12 in which at least certain of the plural reference vectors are fixed, and not able to be altered.

15. The sensing system of claim 14 in which at least certain of the plural reference vectors are stored in a memory that allows alteration of said vectors.

16. The sensing system of claim 9 in which the sensing element, the memory, and the matrix module are affixed to a common semiconductor substrate, and wherein said memory is adapted to store an array of four or more data representing a physical quantity sensed by the sensing element at four or more respective previous times.

17. A sensing system including:
a sensing element having an output;
a memory having an input and an output, the input being coupled to the output of the sensing element, the memory being adapted to store an array of plural data representing plural physical quantities sensed by the sensing element; and
a matrix module having an input coupled to the output of the memory, said matrix module including circuitry that multiplies data presented by said output of the memory by a matrix of plural coefficients, the matrix module including an output that presents output data based on a result of said multiplication;
wherein the sensing element, the memory and the matrix module are affixed to a common substrate; and
wherein the sensing element comprises a 3D accelerometer, a temperature sensor, a barometric pressure sensor, or a humidity sensor.

18. The sensing system of claim 17 in which the matrix of coefficients comprises plural rows of coefficients, and the result of the multiplication is a vector of plural element values, wherein the matrix module is further adapted to produce output data indicating which element of said result vector is the largest.

19. The sensing system of claim 17 that includes additional circuitry for varying said coefficients.

20. The sensing system of claim 17 in which:
the memory comprises a shift register having an input coupled to the output of the sensing element, the shift register presenting a temporal vector of at least four sensor values on at least four outputs; and
the matrix module has inputs coupled to the at least four outputs of the shift register, and being adapted to perform a dot product operation between the temporal vector of sensor values and each of plural reference vectors that comprise said matrix of coefficients, the matrix module further being adapted to provide, on a circuit output, an integer datum indicating one of said reference vectors that yield

Assignees

• Digimarc Corp

Inventors

• Long Scott M
• Lord John D

Classifications

• G11C19/00

  Digital stores in which the information is moved stepwise, e.g. shift registers · CPC title

• G11C7/1006

  Data managing, e.g. manipulating data before writing or reading out, data bus switches or control circuits therefor · CPC title

• G06N3/049

  Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs · CPC title

• G06N3/126

  Evolutionary algorithms, e.g. genetic algorithms or genetic programming · CPC title

• H04L67/125 Primary

  involving control of end-device applications over a network · CPC title