Main Reference PaperMining Human Activity Patterns from Smart Home Big Data for Healthcare Applications, IEEE Access, June 2017 [python].
  • Human activity pattern mining model is proposed that utilizes FP growth and k-means clustering algorithm to find association between appliance to appliance and appliance to time. It uses Bayesian network for predicting the activity from historical data.

Description
  • Human activity pattern mining model is proposed that utilizes FP growth and k-means clustering algorithm to find association between appliance to appliance and appliance to time. It uses Bayesian network for predicting the activity from historical data.

  • To predict the human activity pattern from appliances usage.

  • To perform prediction with much accuracy to assist various applications such as health care application.

Aim & Objectives
  • To predict the human activity pattern from appliances usage.

  • To perform prediction with much accuracy to assist various applications such as health care application.

  • A technique is contributed that improves the training and accuracy of the system.

Contribution
  • A technique is contributed that improves the training and accuracy of the system.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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