Does your lifestyle prevent you from qualifying for insurance discounts? Do you lack sufficient time for exercise or have limited access to sports facilities? Maybe you just want to keep your personal data private without having to pay higher insurance premiums for the privilege?
Unfit Bits provides solutions. At Unfit Bits, we are investigating DIY fitness spoofing techniques to allow you to create walking datasets without actually having to share your personal data. These techniques help produce personal data to qualify you for insurance rewards even if you can't afford a high exercise lifestyle.
Our team of experts are undertaking an in-depth Fitbit Audit to better understand how the Fitbit and other trackers interpret data. With these simple techniques using everyday devices from your home, we show you how to spoof your walking data so that you too can qualify for the best discounts. Our new range of desktop fitness devices are also available on this site.
Free your fitness. Free yourself. Earn Rewards.
Tega Brain is an artist and engineer. She makes eccentric engineering, reimagining everyday technologies to address their politics and envision alternatives. She is currently a resident at Eyebeam Center for Art and Technology, Brooklyn, has both studied and taught at the School for Poetic Computation, and is an Assistant Professor at SUNY Purchase.
Surya Mattu is an artist and engineer based in Brooklyn. He is currently a fellow at Data&Society where he is investigating infrastructure with a focus on wireless as a way to better understand bias in technology. He is also a contributing researcher at ProPublica. Previously he has worked as an engineer at Bell Labs and is a graduate from the New York University’s Interactive Telecommunications Program. He has a degree in Electronics and Telecommunication from the University of Nottingham in the United Kingdom.