Body: <p>I am a newbie in the field of AI/ML. I am trying to implement predictive analytics model on the data generated and collected every minute from a device with sensors.</p>
  
  <p>I have two questions: </p>
  
  <ol>
  <li>What are various ML algorithms I can use to predict the number of
  people in a room given temperature, humidity, luminosity, and motion
  { 0 | 1 }?</li>
  <li>What other things can we predict using the above data from the
  sensor that is deployed in a closed room?</li>
  </ol>
  
  <p><strong>Context:</strong></p>
  
  <p>The device sends temperature, humidity, luminosity, and motion(yes/no) in real-time. I deployed this device in a closed room and started collecting data. Now I want to use this data to predict the number of people in the room using the data collected. I believe a multiple (linear/poly) regression model will help me in achieving this but, wanted to know if there are any other algorithms or any other use cases I can look into.</p>
  
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-11-21T22:30:39.060Z
Comments.Text: I expect there will be a lot of error margin (as I know people who can't sit still, and other who are extremely sedentary; some sweat a lot and other's not so much) but it's an extraordinarily interesting problem.  Welcome to AI!
Comments.UserDisplayName: DukeZhou
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-11-22T01:36:53.747Z
Comments.Text: What about sound?  Humans make a lot of sound (breathing/heartbeat vibrations etc) depending on how good your sensors are and where they are located...?  Just an idea...
Comments.UserDisplayName: solarflare
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-11-23T09:45:17.783Z
Comments.Text: @DukeZhou one here, is trying to broaden the scope of the question.
Comments.UserDisplayName: quintumnia
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-11-23T19:36:28.530Z
Comments.Text: @DenizC That's a great idea.  Dogs will generally pant, or their collars give a little jingle.  Wonder if the sensors can pick up things like heartbeat though...
Comments.UserDisplayName: DukeZhou
Comments.ContentLicense: CC BY-SA 3.0
Comments.CreationDate: 2017-11-23T22:53:47.483Z
Comments.Text: Google remote heartbeat sensors - military has been using them for years to detect heartbeats through walls.
Comments.UserDisplayName: solarflare
Tags: <machine-learning><prediction><linear-regression>
Title: What are suitable predictive analytics models for data from multiple sensors?
UserDisplayName: Jaya S Parimi
ThreadText: # What are suitable predictive analytics models for data from multiple sensors?
  
  (Asked by: username_0 on 2017-11-21)
  
  I am a newbie in the field of AI/ML. I am trying to implement predictive analytics model on the data generated and collected every minute from a device with sensors.
  
  I have two questions:
  
  1. What are various ML algorithms I can use to predict the number of
     people in a room given temperature, humidity, luminosity, and motion
     { 0 | 1 }?
  2. What other things can we predict using the above data from the
     sensor that is deployed in a closed room?
  
  **Context:**
  
  The device sends temperature, humidity, luminosity, and motion(yes/no) in real-time. I deployed this device in a closed room and started collecting data. Now I want to use this data to predict the number of people in the room using the data collected. I believe a multiple (linear/poly) regression model will help me in achieving this but, wanted to know if there are any other algorithms or any other use cases I can look into.
  
  **Tags:** machine-learning, prediction, linear-regression
  
  > **Comments:**
  > **username_1**: I expect there will be a lot of error margin (as I know people who can't sit still, and other who are extremely sedentary; some sweat a lot and other's not so much) but it's an extraordinarily interesting problem.  Welcome to AI!  
  > **username_2**: What about sound?  Humans make a lot of sound (breathing/heartbeat vibrations etc) depending on how good your sensors are and where they are located...?  Just an idea...  
  > **username_3**: @username_1 one here, is trying to broaden the scope of the question.  
  > **username_1**: @DenizC That's a great idea.  Dogs will generally pant, or their collars give a little jingle.  Wonder if the sensors can pick up things like heartbeat though...  
  > **username_2**: Google remote heartbeat sensors - military has been using them for years to detect heartbeats through walls.  
  
  ---
  
  ## 0 answers
  
  