Deep learning for highly accurate hand recognition based on yolov7 model
Hand detection is a key step in the pre-processing stage of many computer vision tasks
because human hands are involved in the activity. Some examples of such tasks are hand …
because human hands are involved in the activity. Some examples of such tasks are hand …
Self-supervised learning of brain dynamics from broad neuroimaging data
Self-supervised learning techniques are celebrating immense success in natural language
processing (NLP) by enabling models to learn from broad language data at unprecedented …
processing (NLP) by enabling models to learn from broad language data at unprecedented …
[HTML][HTML] Combination of deep cross-stage partial network and spatial pyramid pooling for automatic hand detection
C Dewi, H Juli Christanto - Big Data and Cognitive Computing, 2022 - mdpi.com
The human hand is involved in many computer vision tasks, such as hand posture
estimation, hand movement identification, human activity analysis, and other similar tasks, in …
estimation, hand movement identification, human activity analysis, and other similar tasks, in …
Neural and behavioral signatures of the multidimensionality of manipulable object processing
Understanding how we recognize objects requires unravelling the variables that govern the
way we think about objects and the neural organization of object representations. A tenable …
way we think about objects and the neural organization of object representations. A tenable …
Does hemispheric asymmetry reduction in older adults in motor cortex reflect compensation?
Older adults tend to display greater brain activation in the nondominant hemisphere during
even basic sensorimotor responses. It is debated whether this hemispheric asymmetry …
even basic sensorimotor responses. It is debated whether this hemispheric asymmetry …
Action goals and the praxis network: An fMRI study
B Michalowski, M Buchwald, M Klichowski… - Brain Structure and …, 2022 - Springer
The praxis representation network (PRN) of the left cerebral hemisphere is typically linked to
the control of functional interactions with familiar tools. Surprisingly, little is known about the …
the control of functional interactions with familiar tools. Surprisingly, little is known about the …
Object-oriented hand dexterity and grasping abilities, from the animal quarters to the neurosurgical OR: a systematic review of the underlying neural correlates in non …
L Tariciotti, L Mattioli, L Viganò, M Gallo… - Frontiers in Integrative …, 2024 - frontiersin.org
Introduction The sensorimotor integrations subserving object-oriented manipulative actions
have been extensively investigated in non-human primates via direct approaches, as …
have been extensively investigated in non-human primates via direct approaches, as …
Decoding reach direction in early “visual” cortex of congenitally blind individuals
Motor actions, such as reaching or grasping, can be decoded from fMRI activity of early
visual cortex (EVC) in sighted humans. This effect can depend on vision or visual imagery …
visual cortex (EVC) in sighted humans. This effect can depend on vision or visual imagery …
Characterizing the discriminability of visual categorical information in strongly connected voxels
Functional brain responses are strongly influenced by connectivity. Recently, we
demonstrated a major example of this: category discriminability within occipitotemporal …
demonstrated a major example of this: category discriminability within occipitotemporal …
The role of the anterior temporal cortex in action: evidence from fMRI multivariate searchlight analysis during real object grasping
Intelligent manipulation of handheld tools marks a major discontinuity between humans and
our closest ancestors. Here we identified neural representations about how tools are …
our closest ancestors. Here we identified neural representations about how tools are …