Smart scale systems and methods of using the same
AssigneeMateo
InventorsThomas Serval, Gauthier de Rouzé
Life of this patent
Estimating the term…
Abstract
A method for determining a normalized weight of a non-static item is disclosed. Weight data associated with the non-static item is received from a plurality of load cells. A load cell weight for the non-static item is determined based at least in part on the weight data. The load cell weight for the non-static item is received as an input for a machine learning algorithm. The normalized weight for the non-static item is generated as an output for the machine learning algorithm.
Claims20
A method for determining a normalized weight of a user, the method performed by one or more processors of a smart scale system according to machine-readable instructions stored in a memory coupled to the one or more processors, the method comprising:
- receiving, from a plurality of load cells of the smart scale system coupled to the one or more processors, weight data associated with the user;
- receiving, as an input for a machine learning algorithm, a load cell weight determined based on the received weight data;
- receiving, from an array of pressure sensors of the smart scale system coupled to the one or more processors, pressure data associated with the user;
- receiving, from the user, an indication of a reason for adjustment of the weight data associated with the user;
- generating, based at least in part on the pressure data, a pressure heat map associated with the user, the pressure heat map, being representative of a pressure gradient associated with feet of the user;
- determining based on the pressure heat map an identity of the user;
- and
- generating, by the machine learning algorithm based on (i) the weight data associated with the user, (ii) the reason for adjustment of the weight data associated with the user, and (iii) the identity of the user, the normalized weight for the user.
A smart scale system, comprising:
- a plurality of load cells coupled to a first side of a substrate, the plurality of load cells being configured to generate weight data associated with a user;
- a control system including one or more processors;
- an array of pressure sensors coupled to a second opposing side of the substrate, the array of pressure sensors being configured to generate pressure data associated with the user;
- and
- a memory having stored thereon machine readable instructions;
- wherein the control system is coupled to the memory and configured to cause the one or more processors to execute the machine executable instructions to:
- receive, from the plurality of load cells, the weight data associated with the user;
- receive, as an input for a machine learning algorithm, a load cell weight determined based on the received weight data;
- receive, from the array of pressure sensors, the pressure data associated with the user;
- receive, from the user, an indication of a reason for adjustment of the weight data associated with the user;
- generate, based at least in part on the pressure data, a pressure heat map associated with the user, wherein the pressure heat map being representative of a pressure gradient associated with feet of the user;
- determine based on the pressure heat map, an identity of the user;
- and
- generate, by the machine learning algorithm based on (i) the weight data associated with the user, (ii) the reason for adjustment of the weight data associated with the user, and (iii) the identity of the user, the normalized weight for the user.
Dependencies are inferred from the claim text.