Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks

Hand Gesture Recognition Using Single Patchable Six-Axis Inertial Measurement Unit via Recurrent Neural Networks

Recording human gestures from a wearable sensor produces valuable information to implement control gestures or in healthcare services. The wearable sensor is required to be small and easily worn. Advances in miniaturized sensor and materials research produces patchable inertial measurement units (IM...

Full description

Bibliographic Details
Main Authors: Edwin Valarezo Añazco, Seung Ju Han, Kangil Kim, Patricio Rivera Lopez, Tae-Seong Kim, Sangmin Lee
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
patchable IMU
six-axis inertial sensor
hand gesture recognition
recurrent neural network
control gestures
Online Access:https://www.mdpi.com/1424-8220/21/4/1404

Internet

https://www.mdpi.com/1424-8220/21/4/1404

Similar Items