Espositori 2015

BITalino (r)evolution: DIY Body Signals
BITalino (r)evolution: DIY Body Signals

BITalino (r)evolution: DIY Body Signals

Out-of-the-box, BITalino includes easy to use software & hardware blocks with sensors for electrocardiography (ECG), electromyography (EMG), electrodermal activity (EDA), electroencephalography (EEG), motion, and ambient light. Your imagination is the limit; each individual block can be snapped off and combined to prototype anything you want. People can connect other sensors, including their own custom designs. It's for students, teachers, makers, artists, researchers, corporate R&D... no electrical skills required!

BITalino (r)evolution: DIY Body Signals

Hugo Plácido da Silva

I believe I'm one of the few lucky people that can say he worked very few days in his life... not because of lack of a job (fortunately), but because when you do stuff you love and you're passionate about almost every single day, there's no boundary between what's work and what's just pure fun.

I've completed a BSc in Computer Science, and a MSc in Electrical and Computers Engineering. Since 2004, I've been a researcher at the IT - Instituto de Telecomunicações (, where I'm currently pursuing my PhD. In 2012 I've been a visiting researcher at the Computational and NeuroEgineering Labority (CNEL) from the University of Florida.

I'm one of the co-founders of PLUX – Wireless Biosignals (, established in 2007 as an innovative technology-based company operating in the field of medical devices for healthcare and quality of life, where I'm currently a Board Member and Innovation Advisor.

More recently, I've been actively working (i.e. having fun) towards making the world a bit more physiological, through BITalino (, a software and low-cost hardware toolkit that allows anyone from students to professional app developers, to create cool projects and applications with physiological sensors.

My main interest areas include physiological computing (aka biosignals), system engineering, signal processing, and pattern recognition.

Dati aggiornati il 12/07/2024 - 19.33.27