This project will definitely be liked by people who loves playing air hockey. In short term, it’s a low cost robot which detects a puck coming towards it and moves in its required direction to stop it. The great point of the project is, it’s highly responsive and doesn’t use any robotic arms to stop the puck. The heart of the project, an ATMEGA 1284 MCU, takes in echo patterns from each of the sensors, interprets them and accordingly actuates the robots motors. Moreover, it requires negligible human input and can also be powered from a battery based source.
Due to multiple tasks running simultaneously, they have used a tiny real time kernel to execute task in a coordinated manner which has made the robot more responsive to the puck. In the final design, with all the sensors mounted on the robot, a threshold of about 34cm or 1 foot was observed to do the best job of detecting the puck and resulting in proper functioning of the robot. A low cost robot doing a job of the goalie in an very efficient way. However, since the puck is round in shape, there have been certain difficulties in picking it up due to echo not being reflected back.
This project moves and clicks a mouse cursor on a computer screen by tracking where the user’s eye-movements using infrared eye-tracking technology and a gyroscope. It can be useful for people with physical disabilities and provide them with a way to control the monitor. Instead of using a camera they are using a combination of LED’s and phototransistors which have reduced the cost of the project by a huge margin. The LED’s used are mounted on a custom made spectacles like think, which doesn’t restrain user from making any movement and hence giving this device an edge over other products presently available.
All of these glasses-mounted components namely the LED system along with the gyroscope are connected to a microcontroller, which parses the LED and gyroscope data into USART packets and transmits it wirelessly. The packets are read by a wireless receiver on a separate ATMega1284P board, which moves the mouse cursor using a Java program based on the information received. The LED’s used are low power LED’s which also doesn’t damage the user eye. You can read more about this project on the project website.
This project by the undergraduate students of Cornell University allows you to measure your heart rate along with blood pressure through the use of optical based sensors. Their intention is to gather data for large-scale analysis for the automatic prediction of heart disease. The heart of the project is the ATMEGA 1284p, which is used to control the infrared LEDs that will transmit light which is reflected back to the light to frequency sensors.
The microcontroller takes in the signals that reflect pulsatile measurements, and will digitally process these signals into pulse measurements, and send the data through either USB or bluetooth to a PC. The PC will have a GUI that graphically shows the two pulses and the blood pressure and pulse. The mouse unit contains the mouse controller, a mega1284P microcontroller, an ultrasonic sound transmitter, three ultrasonic sound receivers and an XBEE wireless transceiver. The base station contains a mega32 microcontroller and an XBEE wireless transceiver. A GUI has also been created to observe the data without any use of additional tools. The complete mathematics along with the schematics of the project can be found on the project website.
This device named as Fight Coach is sensor system that can be inserted into sports gear which will permit fighters to manage evaluate their performance. By tracking the athlete’s hand movement and displaying it in real-time, Fight Coach can help athletes optimize their training. However, the main advantage of this device is that it’s small enough to fit into their equipment without causing much trouble or comfort problem to the athlete. Moreover, it has USB rechargeable battery system along with a wireless system.
The ATMEGA32U4 microcontroller does the major work which is also connected to a RN-41 Bluetooth module for wireless functionality. Motion data, generated by the accelerometer and gyroscope, is obtained by the MCU via i2c, and the MCU then transmits that data to a Bluetooth module via UART, which in turn gets displayed and processed on a matlab terminal. It also has the ability to display athlete’s damage output along with his defensive performance in real-time. If the athlete wishes he can also log the data generated for further analysis in future. If you are interested to learn more about its functionality, the documentation of the project is available on the project website.