SensIR: Detecting Hand Gestures with a Wearable Bracelet using Infrared Transmission and Reflection

Abstract: Gestures have become an important tool for natural interaction
with computers and thus several wearables have been developed to detect
hand gestures. However, many existing solutions are unsuitable for
practical use due to low accuracy, high cost or poor ergonomics. We
present SensIR, a bracelet that uses near-infrared sensing to infer hand
gestures. The bracelet is composed of pairs of infrared emitters and
receivers that are used to measure both the transmission and reflection
of light through/off the wrist. SensIR improves the accuracy of existing
infrared gesture sensing systems through the key idea of taking
measurements with all possible combinations of emitters and receivers.
Our study shows that SensIR is capable of detecting 12 discrete gestures
with 93.3% accuracy. SensIR has several advantages compared to other
systems such as high accuracy, low cost, robustness against bad skin
coupling and thin form-factor.
Authors: Jess Mcintosh, Asier Marzo, Mike Fraser
Paper: doi.org/10.114...

[@emmanuellopez3471]

THANK YOU!

[@berkcan3475]

just amazing

[@FrostCraftedMC]

is this based on the muscles changing how the IR singlas are recieved?

[@maybprince]

I wanted to know too

[@character640p]

You can see the emitters and receivers in 0:07. And train your wrist movements with default programs as shown in pictures. I'm not sure if there can be custom gesture added to it tho.