This mask can not only sense the users real-time respiration rate, heart rate, and mask wear time.
FaceBit can help wearers better understand their own bodies to get to make beneficial health decisions.
The physiological data also could be used to predict fatigue, physical health status, and emotional state.
We can approximate the fit-testing process by measuring mask resistance.
This extends the sensors battery life, increasing the time between charges.
In the study, researchers found FaceBits battery lasted longer than 11 days between charges.
However, he said that the equipment still needs to undergo clinical trials and validation.
Im really excited to hand this off to the research community to see what they can do with it.
Theresearch was published last weekin the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.
it’s possible for you to check out more information on the equipment atfacebit.health.
source: www.techworm.net
