Noninvasive Human-Prosthesis Interfaces for Locomotion Intent Recognition: A Review [PDF]
Cyborg and Bionic Systems, 2021 The lower-limb robotic prostheses can provide assistance for amputees’ daily activities by restoring the biomechanical functions of missing limb(s).
Dongfang Xu, Qining Wang
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Mental Health Intent Recognition for Arabic-Speaking Patients Using the Mini International Neuropsychiatric Interview (MINI) and BERT Model [PDF]
Sensors, 2022 For many years, mental health has been hidden behind a veil of shame and prejudice. In 2017, studies claimed that 10.7% of the global population suffered from mental health disorders. Recently, people started seeking relaxing treatment through technology,
Ridha Mezzi +4 more
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IFIANet: Frequency Attention Network for Time–Frequency in sEMG-Based Motion Intent Recognition [PDF]
SensorsLower limb exoskeleton systems require accurate recognition of the wearer’s movement intentions prior to action execution in order to achieve natural and smooth human–machine interaction.
Gang Zheng +5 more
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Driver's turning intent recognition model based on brain activation and contextual information [PDF]
Frontiers in Neuroergonomics, 2022 Traffic situations like turning at intersections are destined for safety-critical situations and accidents. Human errors are one of the main reasons for accidents in these situations.
Alexander Trende +6 more
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A Hierarchical-Based Learning Approach for Multi-Action Intent Recognition [PDF]
SensorsRecent applications of wearable inertial measurement units (IMUs) for predicting human movement have often entailed estimating action-level (e.g., walking, running, jumping) and joint-level (e.g., ankle plantarflexion angle) motion. Although action-level
David Hollinger +4 more
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Efficient EEG-Based Person Identification: A Unified Framework from Automatic Electrode Selection to Intent Recognition [PDF]
SensorsElectroencephalography (EEG) has attracted significant attention as an effective modality for interaction between the physical and virtual worlds, with EEG-based person identification serving as a key gateway to such applications.
Yu Pan, Jingjing Dong, Junpeng Zhang
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Intention Recognition With ProbLog
Frontiers in Artificial Intelligence, 2022 In many scenarios where robots or autonomous systems may be deployed, the capacity to infer and reason about the intentions of other agents can improve the performance or utility of the system. For example, a smart home or assisted living facility is better able to select assistive services to deploy if it understands the goals of the occupants in ...
Gary B. Smith +6 more
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Information, 2022 Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system.
Turdi Tohti +2 more
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Pretrained Natural Language Processing Model for Intent Recognition (BERT-IR)
Human-Centric Intelligent Systems, 2021 Intent Recognition (IR) is considered a key area in Natural Language Processing (NLP). It has crucial usage in various applications. One is the Search Engine- Interpreting the context of text searched by the user improves the response time and helps the ...
Vasima Khan, Tariq Azfar Meenai
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Cloze-Style Data Augmentation for Few-Shot Intent Recognition
Mathematics, 2022 Intent recognition aims to identify users’ potential intents from their utterances, which is a key component in task-oriented dialog systems. A real challenge, however, is that the number of intent categories has grown faster than human-annotated data ...
Xin Zhang +4 more
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