EXGbuds

Target SDGs

Target Users (Target Impact Group)

Household

Distributors / Implementing Organizations

EXG-wear

Regions

Worldwide

Manufacturing/Building Method

EXGbuds consists of customizable hardware and software, with biosensors placed on top of the ears combined with machine learning algorithms to measure various physiological signals to satisfy a variety of user needs.

The team developed their own patented Electroencephalogram (EEG) dry electrode sensors and microscale Bluetooth communication modules.

Intellectural Property Type

Trademark

User Provision Model

Directly from manufacturer

Distributions to Date Status

Unknown

Design Specifications

By placing sensors and electronic modules in a compact and ergonomic way, EXGbuds provides a human-centered product design. Users can customize their own ergonomic design to place sensors at different locations to measure different physiological signals.

Product Schematics

Technical Support

From manufacturer

Replacement Components

None

Lifecycle

Unknown

Manufacturer Specified Performance Parameters

Assist people with disabilities and improve productivity with augmented sensing.

Vetted Performance Status

The classification of the eye and facial gestures under the developed machine learning algorithm can reach to above 95% accuracy.

Safety

N/A

Complementary Technical Systems

None

Academic Research and References

Compliance with regulations

Unknown

Evaluation methods

Academic research: several papers evaluated the accuracy of the machine learning algorithm that classifies human gestures into interaction with the device.

Other Information

None