Organize and Share your Electronics the way you want. Sign-Up for a free account now. It takes only 30 seconds!

App note: 1-μA capacitive grip detection based on MSP430 Microcontrollers

App note: 1-μA capacitive grip detection based on MSP430 Microcontrollers

An app note from TI, 1-μA capacitive grip detection based on MSP430 Microcontrollers (PDF!)

This application report  discusseshow to design a simple and ultra low-power grip detector Booster Pack for the MSP430 LaunchPad. The PINOSC feature in every msp430G2xx2 and msp430G2xx3 device makes it possible to eliminate all the external components when implementing a capacitive touch design. All the components used in the grip detector, such as capacitive sensors, LEDs are all integrated in a BoosterPack, which is completely compatible with the MSP430 LaunchPad interface. And this grip detector canalso communicate with the TouchPro graphical user interface (GUI) to make the test and debug process much faster and easier. Measurement results show that the average current consumed by this grip detector working in idle mode is nearly 1μA, which proves that the MSP430 value line series of devices have excellent low-power characteristics and are suitable for battery powered applications.

 

 

Read more Here

 

More Articles to Read

Guide to build your 3.3v power supply
Guide to build your 3.3v power supply
SDR radio breathes life into a 75 year old Marconi CR100
SDR radio breathes life into a 75 year old Marconi CR100
A Time for Ranting!
A Time for Ranting!
Emulate a Commodore 64 keyboard with a modern PC and an Arduino
Emulate a Commodore 64 keyboard with a modern PC and an Arduino
USB2005 and USB97C202 Sharing ATA/ATAPI Drive w/ Another Controller
USB2005 and USB97C202 Sharing ATA/ATAPI Drive w/ Another Controller
Robotic Cat Laser
Robotic Cat Laser
LED traffic light
LED traffic light
Estimating Power for ADSP-BF561 Blackfin® Processors
Estimating Power for ADSP-BF561 Blackfin® Processors
Teach Your Arduino to Switch Itself Off!
Teach Your Arduino to Switch Itself Off!
Control a tracked robot with your mind (or joystick)
Control a tracked robot with your mind (or joystick)

Top




Shares