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1
Assessing the impact of OCR noise on multilingual event detection over digitised documents
In: ISSN: 1432-5012 ; EISSN: 1432-1300 ; International Journal on Digital Libraries ; https://hal.archives-ouvertes.fr/hal-03635985 ; International Journal on Digital Libraries, Springer Verlag, 2022, ⟨10.1007/s00799-022-00325-2⟩ (2022)
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2
Unsupervised quantification of entity consistency between photos and text in real-world news ...
Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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3
In a Bilingual Mood: Mood Affects Lexico-Semantic Processing Differently in Native and Non-Native Languages
In: Brain Sciences; Volume 12; Issue 3; Pages: 316 (2022)
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4
Visual prediction cues can facilitate behavioural and neural speech processing in young and older adults
In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-03371896 ; Neuropsychologia, Elsevier, 2021, 159, pp.107949. ⟨10.1016/j.neuropsychologia.2021.107949⟩ (2021)
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5
Somatosensory contribution to audio-visual speech processing
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. ⟨10.1016/j.cortex.2021.07.013⟩ ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021)
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6
Event Related Document Retrieval with Multilingual Real World Event Representation
In: 20th International Semantic Web Conference ; https://hal.archives-ouvertes.fr/hal-03415957 ; 20th International Semantic Web Conference, Oct 2021, Online, France ; https://iswc2021.semanticweb.org/ (2021)
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7
Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
Bernabeu, Pablo. - : Open Science Framework, 2021
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8
Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
Uhrig, Stefan Josef. - : Technische Universität Berlin, 2021
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9
Changes of orofacial somatosensory attenuation during speech production
In: ISSN: 0304-3940 ; Neuroscience Letters ; https://hal.archives-ouvertes.fr/hal-02573957 ; Neuroscience Letters, Elsevier, 2020, 730, ⟨10.1016/j.neulet.2020.135045⟩ (2020)
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10
A Dataset for Multi-lingual Epidemiological Event Extraction
In: Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) ; https://hal.archives-ouvertes.fr/hal-02732848 ; Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), May 2020, Marseille, France. pp.4139-4144 (2020)
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11
Impact Analysis of Document Digitization on Event Extraction
In: CEUR Workshop Proceedings ; 4th Workshop on Natural Language for Artificial Intelligence (NL4AI 2020) co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2020) ; https://hal.archives-ouvertes.fr/hal-03026148 ; 4th Workshop on Natural Language for Artificial Intelligence (NL4AI 2020) co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2020), Nov 2020, Virtual, Italy. pp.17-28 ; http://sag.art.uniroma2.it/NL4AI/ (2020)
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12
Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing
In: ISSN: 1662-4548 ; EISSN: 1662-453X ; Frontiers in Neuroscience ; https://hal.archives-ouvertes.fr/hal-02617084 ; Frontiers in Neuroscience, Frontiers, 2020, pp.36 ; https://www.frontiersin.org/ (2020)
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13
Rational Redundancy in Situated Communication ...
Tourtouri, Elli Nantia. - : Universität des Saarlandes, 2020
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14
Electrophysiological Differentiation of the Effects of Stress and Accent on Lexical Integration in Highly Fluent Bilinguals
In: Brain Sciences ; Volume 10 ; Issue 2 (2020)
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15
Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing
In: Frontiers in Neuroscience, 14 (2020)
Abstract: Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI), allowing the machine to capture and interpret the user's intent and to respond accordingly. The ability to discriminate between human gestures can help in several applications, such as assisted living, healthcare, neuro-rehabilitation, and sports. Recently, multi-sensor data fusion mechanisms have been investigated to improve discrimination accuracy. In this paper, we present a sensor fusion framework that integrates complementary systems: the electromyography (EMG) signal from muscles and visual information. This multi-sensor approach, while improving accuracy and robustness, introduces the disadvantage of high computational cost, which grows exponentially with the number of sensors and the number of measurements. Furthermore, this huge amount of data to process can affect the classification latency which can be crucial in real-case scenarios, such as prosthetic control. Neuromorphic technologies can be deployed to overcome these limitations since they allow real-time processing in parallel at low power consumption. In this paper, we present a fully neuromorphic sensor fusion approach for hand-gesture recognition comprised of an event-based vision sensor and three different neuromorphic processors. In particular, we used the event-based camera, called DVS, and two neuromorphic platforms, Loihi and ODIN + MorphIC. The EMG signals were recorded using traditional electrodes and then converted into spikes to be fed into the chips. We collected a dataset of five gestures from sign language where visual and electromyography signals are synchronized. We compared a fully neuromorphic approach to a baseline implemented using traditional machine learning approaches on a portable GPU system. According to the chip's constraints, we designed specific spiking neural networks (SNNs) for sensor fusion that showed classification accuracy comparable to the software baseline. These neuromorphic alternatives have increased inference time, between 20 and 40%, with respect to the GPU system but have a significantly smaller energy-delay product (EDP) which makes them between 30× and 600× more efficient. The proposed work represents a new benchmark that moves neuromorphic computing toward a real-world scenario. ; ISSN:1662-453X ; ISSN:1662-4548
Keyword: electromyography (EMG) signal processing; event-based camera; hand-gesture classification; neuromorphic engineering; sensor fusion; spiking neural networks (SNNs)
URL: https://hdl.handle.net/20.500.11850/438608
https://doi.org/10.3929/ethz-b-000438608
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16
Understanding Event Structure in Text
In: FIU Electronic Theses and Dissertations (2020)
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17
Generación Automática de Casos en Procesamiento de Eventos con EPL ; Automatic Generation of Cases in Event Processing using EPL
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18
Natural Language Processing and Text Mining with Graph-Structured Representations
Liu, Bang. - : University of Alberta. Department of Electrical and Computer Engineering., 2020
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19
Neural Correlates of Phonetic and Lexical Processing in Children with and without Speech Sound Disorder
Katelyn L Gerwin (8968220). - 2020
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20
Rational Redundancy in Situated Communication
Tourtouri, Elli Nantia. - : Saarländische Universitäts- und Landesbibliothek, 2020
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