Visual texture agnosia influences object identification in dementia with Lewy bodies and Alzheimer's disease
Sign Up to like & getrecommendations! Published in 2020 at "Cortex"
DOI: 10.1016/j.cortex.2020.04.008
Abstract: BACKGROUND Numerous studies have shown visuoperceptual/visuospatial deficits in dementia with Lewy bodies (DLB) and Alzheimer's disease (AD). Visual texture recognition is also impaired in patients with DLB and AD. Although patients with DLB often exhibit… read more here.
Keywords: object identification; recognition; patients dlb; texture ... See more keywords
Secure Cyber-Physical Object Identification in Industrial IoT-Systems
Sign Up to like & getrecommendations! Published in 2020 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.10.171
Abstract: Abstract Production systems equipped with industrial internet-of-things devices are on the rise allowing smart manufacturing within the trend of industry 4.0 by implementing decentralized decision making. The interconnected devices allow for high transparency in systems… read more here.
Keywords: physical object; object identification; identification industrial; cyber physical ... See more keywords
Scalable multi-dimensional topological deformation actuators for active object identification.
Sign Up to like & getrecommendations! Published in 2023 at "Materials horizons"
DOI: 10.1039/d2mh01567f
Abstract: Rarely are bionic robots capable of rapid multi-dimensional deformation and object identification in the same way as animals and plants. This study proposes a topological deformation actuator for bionic robots based on pre-expanded polyethylene and… read more here.
Keywords: dimensional topological; deformation; topological deformation; object identification ... See more keywords
BTS: a binary tree sampling strategy for object identification based on deep learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2021.1980883
Abstract: Object-based convolutional neural networks (OCNNs) have achieved great performance in the field of land-cover and land-use classification. Studies have suggested that the generation of object convo... read more here.
Keywords: bts binary; object identification; strategy object; binary tree ... See more keywords
Artificial tactile and proprioceptive feedback improves performance and confidence on object identification tasks
Sign Up to like & getrecommendations! Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0207659
Abstract: Somatosensory feedback of the hand is essential for object identification. Without somatosensory feedback, individuals cannot reliably determine the size or compliance of an object. Electrical nerve stimulation can restore localized tactile and proprioceptive feedback with… read more here.
Keywords: confidence; tactile proprioceptive; object identification; feedback ... See more keywords
Can object identification difficulty be predicted based on disfluencies and eye-movements in connected speech?
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0281589
Abstract: In the current study, we asked whether delays in the earliest stages of picture naming elicit disfluency. To address this question, we used a network task, where participants describe the route taken by a marker… read more here.
Keywords: disfluency; difficulty predicted; object identification; eye ... See more keywords