Product recommendation device and method

• US 10,467,679 B1
• Filed: 04/15/2019
• Issued: 11/05/2019
• Est. Priority Date: 04/15/2019
• Status: Active Grant

• Current Assignee: Dnanudge Limited
• Original Assignee: Dnanudge Limited
• Inventors: Toumazou, Christofer, Karvela, Maria
• Primary Examiner(s): Airapetian, Mila
• Application Number:
  US16/384,049
• Time in Patent Office: 204 Days
• Field of Search: 705 261
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/1123 Discriminating type of movement, e.g. walking or running A61B5/1116, A61B5/112 take precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: G06F 1/163 Wearable computers, e.g. on a belt
• CPC Class Codes: G06F 1/1694 the I/O peripheral being a single or a set of motion sensors for pointer control or gesture input obtained by sensing movements of the portable computer
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A wearable device comprising: a memory configured to store product codes for consumable products and data indicating respective product recommendations or from which product recommendations can be derived; a product code reader for reading product codes from products; one or more inertial sensors for obtaining motion data for a wearer of the device; a visual indicator for providing a visual indication of a product recommendation, using data stored in the memory, in response to a read product code. The wearable device further comprises a processor configured to process the motion data to identify periods when the wearer is in a sitting position or other sedentary state, analyze the occurrence and durations of the periods, and modulate the recommendations accordingly for at least a subset of the product codes, whereby product recommendations change depending upon the identified periods.

Claims

1. A wearable device comprising:

a memory configured to store product codes for consumable products and data indicating respective product recommendations or from which product recommendations can be derived;

a product code reader for reading product codes from products;

one or more inertial sensors for obtaining motion data for a wearer of the device;

a visual indicator for providing a visual indication of a product recommendation, using data stored in the memory, in response to a read product code; and

a processor configured to process the motion data to identify periods when the wearer is in a sitting position or other sedentary state, analyse the occurrence and durations of said periods, and modulate said recommendations accordingly for at least a subset of said product codes, whereby product recommendations change depending upon the identified periods.

2. A wearable device according to claim 1, wherein the processor is configured to modulate recommendations according to the wearer'"'"'s behaviour determined by the processor for a pre-determined period, such as the same day.

3. A wearable device according to claim 1, wherein the processor is configured to

identify and maintain a count of periods when the wearer is in a sitting position or other sedentary state for a duration longer than a threshold duration, such as 10 minutes, 30 minutes or 60 minutes.

4. A wearable device according to claim 3, wherein the processor is configured to

ignore interruptions in which the user is not in a sitting position or other sedentary state for less than a pre-determined time when identifying said periods.

5. A wearable device according to claim 1, wherein said memory stores nutritional data for each product and said processor is configured to select said subset of product codes based on said nutritional data.

6. A wearable device according to claim 1, wherein each product recommendation has a first, recommended state and a second, not recommended state and said modulation changes a product recommendation between the first and the second state.

7. A wearable device according to claim 1, wherein said product recommendation has a first, recommended state, a second “

maybe recommended”

state and a third, not recommended state and said modulation changes the product recommendation between the first and the second state.

8. A wearable device according to claim 1, wherein the wearable device is a wrist-worn wearable device.

9. A wearable device according to claim 1, wherein said one or more inertial sensors comprises an accelerometer and/or a gyroscope.

10. A wearable device according to claim 1, wherein said product code reader is for reading a one-dimensional or two-dimensional barcode.

11. A wearable device according to claim 1, wherein said visual indicator provides said indications of the product recommendations by means of different coloured illuminations, for example red and green, or red, green and amber.

12. A method of providing recommendations in respect of consumable products to a wearer of a wearable device in order to improve the wearer'"'"'s health, the method comprising:

storing, in a memory of the wearable device, product codes for products and data indicating respective product recommendations or from which product recommendations can be derived;

obtaining, from one or more inertial sensors of the wearable device, motion data for the wearer;

processing the motion data using a processor of the wearable device to identify periods when the wearer is in a sitting position or other sedentary state;

analysing the occurrence and durations of said periods using said processor;

reading a product code from a product using a product code reader of the wearable device;

in response to a read product code, using data stored in said memory to obtain a product recommendation;

modulating said product recommendation depending upon the wearer'"'"'s sitting behaviour, or other sedentary behaviour, determined by the processor; and

providing a visual indication of the modulated product recommendation using a visual indicator of the wearable device.

13. A method according to claim 12, further comprising selecting a subset of product codes for which the associated product recommendations are modulated.

14. A method according to claim 13, wherein selecting a subset of product codes for which product recommendations are modulated comprises selecting products codes based on nutritional information for the associated products.

15. A method according to claim 14, wherein selecting products codes based on nutritional information for the associated products comprises ranking the products based on the respective nutritional information for each product and selecting the subset by selecting products having a ranking higher than a pre-determined ranking.

16. A method according to claim 14, wherein the nutritional information comprises one or more of:

calorific content, sugar content, carbohydrate content, saturated and/or unsaturated fat content, and salt content.

17. A method according to claim 12, wherein said data is derived from personalised data derived from personalised biological information obtained from an analysis of a biological sample provided by the wearer of the device.