Results 21 to 30 of about 41,579 (241)

Towards Knowledge-Based Tourism Chinese Question Answering System

Mathematics, 2022
With the rapid development of the tourism industry, various travel websites are emerging. The tourism question answering system explores a large amount of information from these travel websites to answer tourism questions, which is critical for providing
Jiahui Li, Zhiyi Luo, Hongyun Huang, Zuohua Ding   +3 more
doaj   +1 more source

Continuous Classification of Locomotion in Response to Task Complexity and Anticipatory State

Frontiers in Bioengineering and Biotechnology, 2021
ObjectiveIntent recognition in lower-extremity assistive devices (e.g., prostheses and exoskeletons) is typically limited to either recognition of steady-state locomotion or changes of terrain (e.g., level ground to stair) occurring in a straight-line ...
Mahdieh Kazemimoghadam, Nicholas P. Fey
doaj   +1 more source

Hybrid Detection Method for Multi-Intent Recognition in Air–Ground Communication Text

Aerospace
In recent years, the civil aviation industry has actively promoted the automation and intelligence of control processes with the increasing use of various artificial intelligence technologies. Air–ground communication, as the primary means of interaction
Weijun Pan, Zixuan Wang, Zhuang Wang, Yidi Wang, Yuanjing Huang   +4 more
doaj   +1 more source

Fusion of Bilateral Lower-Limb Neuromechanical Signals Improves Prediction of Locomotor Activities

Frontiers in Robotics and AI, 2018
Wearable lower-limb assistive devices have the potential to dramatically improve the walking ability of millions of individuals with gait impairments.
Blair Hu, Blair Hu, Elliott Rouse, Levi Hargrove, Levi Hargrove, Levi Hargrove   +5 more
doaj   +1 more source

A-Mode Ultrasound-Based Prediction of Transfemoral Amputee Prosthesis Walking Kinematics via an Artificial Neural Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Lower-limb powered prostheses can provide users with volitional control of ambulation. To accomplish this goal, they require a sensing modality that reliably interprets user intention to move.
Joel Mendez, Rosemarie Murray, Lukas Gabert, Nicholas P. Fey, Honghai Liu, Tommaso Lenzi   +5 more
doaj   +1 more source

Query Intent Recognition Based on Multi-Class Features

IEEE Access, 2018
In order to enhance the user search experience of the search engine, an intent recognition search based on natural language input is proposed. By using reality mining technology to obtain the potential consciousness information from the query expression,
Lirong Qiu, Yida Chen, Haoran Jia, Zhen Zhang   +3 more
doaj   +1 more source

Intention Recognition for Multiple Agents

, 2021
17pages, 30figures, 1 table, 2 algorithms ...
Zhang, Zhang, Zeng, Yifeng, Pan, Yinghui
openaire   +2 more sources

Intention Recognition for Multiple AUVs in a Collaborative Search Mission

Journal of Marine Science and Engineering
This paper addresses the challenges of intent recognition in collaborative Autonomous Underwater Vehicle (AUV) search missions, where multiple AUVs must coordinate effectively despite environmental uncertainties and communication limitations.
Yinhuan Wang, Kaizhou Liu, Lingbo Geng, Shaoze Zhang   +3 more
doaj   +1 more source

Design and Control of a Lower Limb Rehabilitation Robot Based on Human Motion Intention Recognition with Multi-Source Sensor Information

Machines, 2022
The research on rehabilitation robots is gradually moving toward combining human intention recognition with control strategies to stimulate user involvement. In order to enhance the interactive performance between the robot and the human body, we propose
Pengfei Zhang, Xueshan Gao, Mingda Miao, Peng Zhao   +3 more
doaj   +1 more source

Development and Implementation of a Pilot Intent Recognition Model Based on Operational Sequences

Aerospace
With the advancement of intelligent human–computer interaction (IHCI) technology, the accurate recognition of an operator’s intent has become essential for improving the collaborative efficiency in complex tasks.
Xiaodong Mao, Lishi Ding, Xiaofang Sun, Liping Pang, Ye Deng, Xin Wang   +5 more
doaj   +1 more source