Snowboard 2 supports FSR matrix sensor as well as popular single point FSR sensors.
This post describes how to measure data from single zone FSR sensors with Snowboard 2.
Snowboard 2 can gather data from 10 single point FSR sensors simultaneously.
Connect your sensors to Snowboard 2 as shown in the photo above.
Then you need to download and unzip FSR Monitor app in download page.
If you are not familiar with Snowboard 2, consult this document first.
Double click 'fsrmonitor.exe'.
FSR Monitor will be shown as below. Click 'CHOOSE PORT' and select a port that your Snowboard 2 is attached.
Click 'START' and gently press sensors. You will see bar graphs changing.
Let's start logging to use FSR data later. Click 'START LOGGING' and click the same button just seconds after.
In data folder you can find CSV file. Open it with Excel or other application that supports CSV formatted file.
In CSV, measurement data is well stored and you can use this information for your future use.
[Research Paper Based on Kitronyx Product] Comparison of Data Interpolation Techniques for Resolution Correction of Static Foot-Pressure Sensor
[Research Paper Based on Snowboard] Wearable high-performance pressure sensors based on three-dimensional electrospun conductive nanofibers
Kweon, O. Y., Lee, S. J., & Oh, J. H. (2018). Wearable high-performance pressure sensors based on three-dimensional electrospun conductive nanofibers. NPG Asia Materials, 1–12. https://doi.org/10.1038/s41427-018-0041-6
Kitronyx releases a new FSR matrix sensor MS9727.
MS9727 is a huge FSR matrix sensor that has never been released in the market.
Active sensing area is 730 mm (W) x 460 mm (H) and it is compatible with MC1509 force controller.
Data acquisition is done by using Snowforce as well as Kitronyx APIs that let users easily embed Kitronyx sensors into their own projects such as smart mat, robotic applications and other interesting sensory applications.
In this demo video, Kitronyx Snowboard 2 works well with Raspberry Pi, which clearly shows that Kitronyx force sensing system can be a good solution for IoT factory automation.
We've implemented multi-touch trackpad. Multi-touch recognition and multi-touch drawing software has been also built. In the video, you can see that our multi-touch demo system correctly recognizes multiple touches and simultaneous drawing.
[Research Paper Based on Snowboard] RealWalk: Feeling Ground Surfaces While Walking in Virtual Reality
Image Source: http://jessekim.com/realwalk/
Hyungki Son, Hyunjae Gil, Sangkyu Byeon, Sang-Youn Kim, and Jin Ryong Kim. 2018. RealWalk: Feeling Ground Surfaces While Walking in Virtual Reality. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (CHI EA '18). ACM, New York, NY, USA, Paper D400, 4 pages. DOI: https://doi.org/10.1145/3170427.3186474