TY  - JOUR
PY  - 2023//
TI  - Human-centered design: a haptic robotic-based leader-follower driving training system to improve driving skills and enhance safety
JO  - Proceedings of the Human Factors and Ergonomic Society annual meeting
A1  - Lammert, Keegan
A1  - Huang, Gaojian
A1  - Etu, Egbe-Etu
A1  - Quientero, David
A1  - Jiang, Lin
SP  - 1786
EP  - 1787
VL  - 67
IS  - 1
N2  - This study presents the design and implementation of a human-centered wearable robotic glove for driving training using a lead-follower control methodology and haptic stimuli. The glove captures and analyses biometric signals, including piezoelectric sensors on fingers, Electromyography (EMG) for muscle strength, and inertial measurement unit (IMU) for hand position, to monitor hand and forearm behaviour during operation. Real-time motor controllers generate guidance cues for leader-follower gloves based on feedback from sensors, which are wirelessly communicated through the ESP-Now WIFI protocol. An experimental test was conducted to evaluate the effectiveness of the haptic cues on hand pressure and motion. 2-way ANOVA statistical analysis is used to measure the significance of the relevance between haptic cues and driving training outcomes. While haptic cues did not affect hand trajectory, they have statistical significance to driving outcomes. The proposed system has the potential to enhance driving safety training and improve performance.<p />  <p>Language: en</p>
LA  - en
SN  - 2169-5067
UR  - http://dx.doi.org/10.1177/21695067231192452
ID  - ref1
ER  -