Patents by Inventor Jean Marcel dos Reis Costa

Jean Marcel dos Reis Costa has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20180068573
    Abstract: Persuasive technologies aim to influence user's behaviors. In order to be effective, many of the persuasive technologies developed so far relies on user's motivation and ability, which is highly variable and often the reason behind the failure of such technology. Mindless Computing, a new approach to persuasive technology design, is presented. Mindless Computing leverages theories and concepts from psychology and behavioral economics into the design of technologies for behavior change. Most of the current persuasive technologies do not utilize the fast and automatic mental processes for behavioral change and there is an opportunity for persuasive technology designers to develop systems that are less reliant on user's motivation and ability.
    Type: Application
    Filed: September 7, 2017
    Publication date: March 8, 2018
    Inventors: Jean Marcel dos Reis Costa, Alexander Travis Adams, Tanzeem Choudhury, Malte F. Jung
  • Patent number: 9251420
    Abstract: The present invention relates to a system and method for mapping of plants. Homogenous and heterogeneous flora areas called clusters are identified in remote sensing images and routes to the plant clusters are generated. The plants are classified using morphological data from foliar images of plants present in the clusters.
    Type: Grant
    Filed: January 22, 2014
    Date of Patent: February 2, 2016
    Assignee: VALE S.A.
    Inventors: Cleidson Ronald Botelho De Souza, Schubert Ribeiro De Carvalho, Pedro Walfir Martins e Souza Filho, Nelson Monte de Carvalho Filho, Jean Marcel dos Reis Costa
  • Publication number: 20140205154
    Abstract: The present invention relates to a system and method for mapping of plants. Homogenous and heterogeneous flora areas called clusters are identified in remote sensing images and routes to the plant clusters are generated. The plants are classified using morphological data from foliar images of plants present in the clusters.
    Type: Application
    Filed: January 22, 2014
    Publication date: July 24, 2014
    Applicant: VALE S.A.
    Inventors: Cleidson Ronald Botelho DE SOUZA, Schubert Ribeiro De Carvalho, Pedro Walfir Martins e Souza Filho, Nelson Monte de Carvalho Filho, Jean Marcel dos Reis Costa