Smart, comfortable wearable system for recognizing Arabic Sign Language in real-time using IMUs and features-based fusion

作者：

Highlights：

• Sign language recognition techniques: vision-based, sensor-based, hybrid.

• Recognition accuracy: user-dependent: 98.6%, user-independent: 96%.

• Smart wearable system.

• Features-based fusion.

• Inertial Measurement Unit (IMU) sensor, accelerometer, gyroscope.

摘要

•Sign language recognition techniques: vision-based, sensor-based, hybrid.•Recognition accuracy: user-dependent: 98.6%, user-independent: 96%.•Smart wearable system.•Features-based fusion.•Inertial Measurement Unit (IMU) sensor, accelerometer, gyroscope.

论文关键词：Arabic Sign Language recognition,Wearable system,Inertial Measurement Unit (IMU) sensor,Accelerometer,Gyroscope,Features-based fusion

论文评审过程：Received 25 October 2020, Revised 8 March 2021, Accepted 12 June 2021, Available online 25 June 2021, Version of Record 1 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115448