Wearable Imaging Member and Spectroscopic Optical Sensor for Food Identification and Nutrition Modification
First Claim
Patent Images
1. A wearable device or system for food identification and quantification comprising:
- at least one imaging member, wherein this imaging member takes pictures and/or records images of nearby food, and wherein these food pictures and/or images are automatically analyzed to identify the types and quantities of food;
an optical sensor, wherein this optical sensor collects data concerning light that is transmitted through or reflected from nearby food, and wherein this data is automatically analyzed to identify the types of food, the types of ingredients in the food, and/or the types of nutrients in the food;
one or more attachment mechanisms, wherein these one or more attachment mechanisms are configured to hold the imaging member and the optical sensor in close proximity to the surface of a person'"'"'s body; and
an image-analyzing member which automatically analyzes food pictures and/or images.
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Abstract
This invention is a wearable device or system for identification and quantification of food comprising an imaging member (such as a camera) that takes pictures of nearby food, an optical sensor (such as a spectroscopic optical sensor) which collects data concerning light that is reflected from this food, an attachment mechanism (such as a wrist band), and an image-analyzing member (such as a data control unit). This invention can further comprise a computer-to-human interface which modifies a person'"'"'s nutritional intake based on identification of unhealthy vs. healthy food.
61 Citations
20 Claims
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1. A wearable device or system for food identification and quantification comprising:
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at least one imaging member, wherein this imaging member takes pictures and/or records images of nearby food, and wherein these food pictures and/or images are automatically analyzed to identify the types and quantities of food; an optical sensor, wherein this optical sensor collects data concerning light that is transmitted through or reflected from nearby food, and wherein this data is automatically analyzed to identify the types of food, the types of ingredients in the food, and/or the types of nutrients in the food; one or more attachment mechanisms, wherein these one or more attachment mechanisms are configured to hold the imaging member and the optical sensor in close proximity to the surface of a person'"'"'s body; and an image-analyzing member which automatically analyzes food pictures and/or images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18)
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19. A method for food identification and quantification comprising the following steps:
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taking pictures and/or recording images of nearby food using at least one imaging member which is worn in close proximity to a person'"'"'s body; collecting data concerning the spectrum of light that is transmitted through and/or reflected from nearby food using at least one optical sensor which is worn in close proximity to a person'"'"'s body; and automatically analyzing the food pictures and/or images in order to identify the types and quantities of food, ingredients, and/or nutrients using an image-analyzing member.
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20. A wearable device or system for food identification and nutritional intake modification comprising:
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at least one imaging member, wherein this imaging member takes pictures and/or records images of nearby food, and wherein these food pictures and/or images are automatically analyzed to identify the types and quantities of food; an optical sensor, wherein this optical sensor collects data concerning light that is transmitted through or reflected from nearby food, and wherein this data is automatically analyzed to identify the types of food, the types of ingredients in the food, and/or the types of nutrients in the food; one or more attachment mechanisms, wherein these one or more attachment mechanisms are configured to hold the imaging member and the optical sensor in close proximity to the surface of a person'"'"'s body; an image-analyzing member which automatically analyzes food pictures and/or images; and a computer-to-human interface which modifies the person'"'"'s nutritional intake.
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Specification