An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research
This provides an affordable and accessible platform for HCI researchers to explore open-environment interactions and emotional response studies, though it is incremental as it builds on existing sensor technologies.
The researchers tackled the problem of integrating multiple bio-sensing data streams for real-time HCI applications by developing a novel multi-modal platform with a central compute module and companion headset, achieving sensor accuracy comparable to or better than existing alternatives.
We present a novel multi-modal bio-sensing platform capable of integrating multiple data streams for use in real-time applications. The system is composed of a central compute module and a companion headset. The compute node collects, time-stamps and transmits the data while also providing an interface for a wide range of sensors including electroencephalogram, photoplethysmogram, electrocardiogram, and eye gaze among others. The companion headset contains the gaze tracking cameras. By integrating many of the measurements systems into an accessible package, we are able to explore previously unanswerable questions ranging from open-environment interactions to emotional response studies. Though some of the integrated sensors are designed from the ground-up to fit into a compact form factor, we validate the accuracy of the sensors and find that they perform similarly to, and in some cases better than, alternatives.