Boc-(S,S)-cis- 3,4 CB-GABA/(R)-Ala-NHBn peptides

Visando aprofundar o estudo dos dados da marcha humana em fun¸c˜ao de aprimorar a pesquisa apresentada, vamos mostrar de forma pontual, os trabalhos futuros que poder˜ao dar continuidade `a inves- tiga¸c˜ao:

ˆ Realizar testes da atual pesquisa em computadores com outros processadores, para observar e analisar o desempenho da classi- fica¸c˜ao, em fun¸c˜ao do tempo decorrido.

ˆ Otimizar o aplicativo desenvolvido utilizando o sensor Kinect, com a aplica¸c˜ao de todos os parˆametros do corpo humano. ˆ Implementar os classificadores juntamente ao aplicativo, a fim de

poder identificar um indiv´ıduo em tempo real.

ˆ Definir os requisitos de sistema m´ınimos para a utiliza¸c˜ao do soft- ware, em fun¸c˜ao do comportamento, rendimento e transferˆencias de dados.

ˆ Desenvolver um software que reconhe¸ca pessoas a partir da uti- liza¸c˜ao de cˆameras convencionais, para que este produto possa ser utilizado em variados locais que disponham de qualquer cˆamera. ˆ Criar uma aplica¸c˜ao de celular (mobile app), para trabalhar em conjunto com o software de seguran¸ca principal, em fun¸c˜ao de dar praticidade e acessibilidade aos usu´arios.

ˆ Devido a necessidade de grandes processamentos, ´e visado de- senvolver um aplicativo que utilize uma infraestrutura capaz de armazenar e recuperar quantidades gigantescas de dados em nu- vem.

ˆ Efetuar a an´alise de outras topologias de classificadores que pos- sam lidar com dados lineares e n˜ao lineares, com uma capacidade preditiva, como o Gradient Tree Boosting.

91

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