Blueberry uses brain sensing (fNIRS) to understand your internal state and context sensing to understand your environment. Together, these enable you to gain deeper insight into how, why, and when your mind activates during the day. With head up information, you can understand how your mind responds throughout the day.
Blueberry uses functional near infrared spectroscopy (fNIRS) to measure relative change of blood oxygenation in the brain. Our algorithms process fNIRS and contextual data to extract information about users’ mental states. Beyond the basic physiological measurements estimations (heart rate and pulse rate variability).
If you are interested in using Blueberry sensing for research please reach out directly to email@example.com and we will do the best we can to support you.
- For an overview of the history of fNIRS, see a brief history on fNIRS brain sensing.
- fNIRS was invented in 1977, but wasn’t applied in a research setting until early 90's.
- An overview of fNIRS related brain sensing, how it works, and applied machine learning techniques on the data.
- How fNIRS can be used to measure mental workload meaning how much effort the mind is undergoing during a specific task.