EEJournal

fish fry
Subscribe Now
November 6, 2014

Taking it Past the Limit

Beer, Tennis, Football and Input Recognition with MEMS-Enhanced Devices
by Amelia Dalton

What do head injuries, beer, and smart tennis rackets have in common? The MEMS Executive Congress, that’s what! (Thought I was going somewhere else with that, didn’t ya?) Keeping with our Friday Fun theme, this week’s Fish Fry digs into how MEMS-enhanced designs can measure the amount of beer left in your keg, alert your coach about a potential head injury, and improve your tennis game. We chat about several cool designs submitted to this year’s MEMS Executive Congress Technology Showcase by companies Nod Labs, Babolat, and Kegdata. Also this week, we look at the way Force Impact Technologies wants to change how we address head injuries on the ball field. 

 

 

Download this episode (right click and save)

Links for November 7, 2014

More information about the MEMS Executive Congress

More information about the MEMS Executive Congress’ Technology Showcase

More information about Kegdata

More information about Nod Labs

More information about Babolat Play

More information about Force Impact Technologies

Leave a Reply

featured blogs
Matter 1.4 Continues the CSA’s Commitment to Unifying the Home
Nov 12, 2024
The release of Matter 1.4 brings feature updates like long idle time, Matter-certified HRAP devices, improved ecosystem support, and new Matter device types....
More from Silicon Labs...
Foiling Halloween Candy Thieves
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...
More from Max's Cool Beans...

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

From Sensor to Cloud:A Digi/SparkFun Solution
Sponsored by Mouser Electronics and Digi and SparkFun Electronics
In this episode of Chalk Talk, Amelia Dalton, Mark Grierson from Digi, and Rob Reynolds from SparkFun Electronics explore how Digi and SparkFun electronics are working together to make cellular connected IoT design easier than ever before. They investigate the benefits that the Digi Remote Manager® brings to IoT design, the details of the SparkFun Digi XBee Development Kit, and how you can get started using a SparkFun Board for XBee for your next design.
Click here for more information about SparkFun XBee® Development Boards
May 21, 2024
37,634 views