Tag Archives: tracking

Striker is a real-time wearable cadence tracker

The Manifold crew has designed an open source hardware platform capable of tracking real-time running cadence.

Dubbed “Striker,” the prototype boasts both an Atmel powered wristwatch as well as an Atmel based footpod.

More specifically, key wristwatch specs include:

  • Sparkfun Pro Micro (ATmega32U4 MCU)
  • 850mAh lithium ion battery
  • Power cell (Lipo Charger/Booster)
  • SPDT mini power switch
  • Monochrome 128×32 SPI OLED graphic display
XBee 2mW PCB Antenna (Series 2)

Key footpod specs?

  • Fio v3 (ATmega32U4 MCU)
  • 110mAh lithium ion battery
Force sensitive resistor
  • Terminal block (2-pin 3.5mm)
  • XBee 2mW PCB antenna (series 2)

“Striker will remain in the lab for now, but hopefully something like this will become more readily available for runners everywhere,” a Manifold rep by the name of Chad explained.

“As far as a custom solution goes, rather than inventing a watch to receive and display the cadence data it would actually make more sense to build an app for an existing watch platform. Then all you need is a footpod capable of detecting foot strikes and sending the data along using a communication protocol that the watch platform can speak like Bluetooth.”

Interested in learning more about Striker? You can scoot on out the project’s official page, along with the relevant code (Arduino + 3D models) and Fritzing breadboard sketches here.


Hacking and tracking an RC car

A Maker by the name of Shazin recently posted an RC car hack that tracks (and follows) the face of a user. The first step of the project? Assuming direct control of the RC vehicle.

“The uniqueness in this approach is that many people have [executed] RC car hacks using Arduino to control the RC, [rather than] the car itself,” Shazin explained in a recent blog post. “[This] hack directly controls the car instead of sending commands using the RC.”

As HackADay’s Kevin Darrah points out, the car used in the project isn’t exactly high-end, so Shazin had to forego about PWM control.

“Instead, a single IC (RX-2) was found to handle both the RF Receiver and H-Bridges,” writes Darrah.

“After a bit of probing, the four control lines (forward/back and left/right) were identified and connected to an [Atmel-based] Arduino.”

Shazin then paired the Arduino with a USB host shield, linking it with his Android phone via ADB (Android Debug Bridge), while also tweaking the OpenCV Android Face Detection app for the project.

“If the first detected face (target) is in the right half of the image, then turn right or else turn left and go forward,” notes Shazin.

Interested in learning more about the user tracking car? You can check out Shazin’s project page here and HackADay’s coverage here.