Main Reference PaperMining Human Activity Patterns from Smart Home Big Data for Healthcare Applications, IEEE Access, June 2017 [R].
  • 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-project delivery Depending on the complexity of the project and requirements.

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

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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