Category: quantify yourself

Visualize and publish sex toy activity – part 2

 in application, interaction, programming, quantify yourself, sex toy usage database, visualisation

In the first how-to we explained how-to upload the data of the body interaction vibrator development board to a database.

Now we want to show you how easy it is to visualize the motion data of one or more body interaction boards. And in the last part of the how-to we set up a webserver. So you can share your activity data with other.

BI activity 3+ HTML

Web form for ploting your sex toy data

What could we learn from this data:

  • how often people use sex toys
  • how long is a typical session
  • motion frequency analysis for orgasm detection

There are manifold application areas for this data:

  • compare (and compete) with others
  • quantify yourself
  • learn more about the quality of sex
  • share benefitable sex toy usage pattern

You could also combine the sex toy data with other fitness data and learn how sex eg. influences your health.

That’s the end of the “record and share sex toy data” series. We would like to know what you think about this. Does it make sense? To complex? Should we develop a body interaction “base station” with a web server? Or would you prefer an app for your smartphone?

Figure: Activity of 3 BI boards over time. Each color represents one BI which has a distinct node ID.

Figure: Activity of 3 BI boards over time. Each color represents one BI which has a distinct node ID.

Record and share sex toy activity

 in application, programming, quantify yourself, sex toy usage database, visualisation

John Millward showed in his recent study that there is not much knowledge about sex toy usage. By analysing buying behaviour in UK biggest online store he learned a lot about who is interested in which kind of toy (men/woman, single/attached). But who will use the toy which one has bought for what and for how long is still unknown.

Activity of 3 BI boards over time. Each color represents one BI which has a distinct node ID.

Activity of 3 body interaction (BI) vibration development boards over time. Each color represents one BI.

The body interaction vibrator development board recognizes activity (motion) data and sends the data to other boards or to a server. So it is possible to upload the usage data of one or multiple vibrators to a (internet) database.

What could we learn from this data:

  • how often people use sex toys
  • how long is a typical session
  • usage pattern: on your own or with your partner
  • handling of the vibrator
  • motion frequency analysis for orgasm detection

There are manifold application areas for this data:

  • compare (and compete) with others
  • quantify yourself
  • learn more about the quality of sex
  • share benefitable sex toy usage pattern

You could also combine the sex toy data with other fitness data and learn how sex eg. influences your health.

With the body interaction vibrator development board it is easy to upload the data. In this how-to we explain how it is done. In the next blog post we will explain the presentation of sex toy activity plots in the web.