TY - GEN
T1 - An Intuitive Interaction System Using Laser Spot for Daily Household Tasks Operation Autonomous
AU - Liu, Yaxin
AU - Li, Shouqiang
AU - Zhang, Wendong
AU - Liu, Yan
AU - Zhong, Ming
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The Wheelchair Mounted Robotic Arm (WMRA) can help the elderly and handicapped to complete some household tasks independently, while due to the mobility of these people are limited, they cannot complete household tasks easily through the interactions that need frequent operations such as using handles. If the tasks are completed automatically and users only need to send commands by gestures or EEG. The user will lose involvement and adaptability to the environment. In this paper, we propose a method named laser intuitive interaction, it can analyze the user’s intention by identifying the semantic information of the laser and assemble actions to complete unstructured tasks. Firstly, the household tasks are summarized base on the International Classification of Functionality, Disability and Health (ICF) and the laser semantics are designed according to the daily household tasks; Secondly, the method of laser semantic detection base on SVM is discussed; Finally, the information of the laser semantic and the action of the robotic arm are integrated into the ROS. The results of the experiment on daily household tasks show that the accuracy of laser semantic detection is above 92%, the number and time of laser interaction are 33% and 75% of the handle interaction.
AB - The Wheelchair Mounted Robotic Arm (WMRA) can help the elderly and handicapped to complete some household tasks independently, while due to the mobility of these people are limited, they cannot complete household tasks easily through the interactions that need frequent operations such as using handles. If the tasks are completed automatically and users only need to send commands by gestures or EEG. The user will lose involvement and adaptability to the environment. In this paper, we propose a method named laser intuitive interaction, it can analyze the user’s intention by identifying the semantic information of the laser and assemble actions to complete unstructured tasks. Firstly, the household tasks are summarized base on the International Classification of Functionality, Disability and Health (ICF) and the laser semantics are designed according to the daily household tasks; Secondly, the method of laser semantic detection base on SVM is discussed; Finally, the information of the laser semantic and the action of the robotic arm are integrated into the ROS. The results of the experiment on daily household tasks show that the accuracy of laser semantic detection is above 92%, the number and time of laser interaction are 33% and 75% of the handle interaction.
KW - Human-computer interaction
KW - Laser interaction
KW - WMRA
UR - https://www.scopus.com/pages/publications/85118114603
U2 - 10.1007/978-3-030-89134-3_25
DO - 10.1007/978-3-030-89134-3_25
M3 - 会议稿件
AN - SCOPUS:85118114603
SN - 9783030891336
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 269
EP - 280
BT - Intelligent Robotics and Applications - 14th International Conference, ICIRA 2021, Proceedings
A2 - Liu, Xin-Jun
A2 - Nie, Zhenguo
A2 - Yu, Jingjun
A2 - Xie, Fugui
A2 - Song, Rui
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021
Y2 - 22 October 2021 through 25 October 2021
ER -