Ego4d: Around the world in 3,000 hours of egocentric video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
Emdm: Efficient motion diffusion model for fast and high-quality motion generation
Abstract We introduce Efficient Motion Diffusion Model (EMDM) for fast and high-quality
human motion generation. Current state-of-the-art generative diffusion models have …
human motion generation. Current state-of-the-art generative diffusion models have …
Technical challenges for smooth interaction with seniors with dementia: Lessons from Humanitude™
Due to cognitive and socio-emotional decline and mental diseases, senior citizens,
especially people with dementia (PwD), struggle to interact smoothly with their caregivers …
especially people with dementia (PwD), struggle to interact smoothly with their caregivers …
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape
New satellite remote sensing and machine learning techniques offer untapped possibilities
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
to monitor global biodiversity with unprecedented speed and precision. These efficiencies …
An outlook into the future of egocentric vision
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …
research in egocentric vision and the ever-anticipated future, where wearable computing …
[HTML][HTML] Classifying autism from crowdsourced semistructured speech recordings: machine learning model comparison study
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …
in altered behavior, social development, and communication patterns. In recent years …
[HTML][HTML] The classification of abnormal hand movement to aid in autism detection: Machine learning study
A Lakkapragada, A Kline, OC Mutlu… - JMIR Biomedical …, 2022 - biomedeng.jmir.org
Background A formal autism diagnosis can be an inefficient and lengthy process. Families
may wait several months or longer before receiving a diagnosis for their child despite …
may wait several months or longer before receiving a diagnosis for their child despite …
Augmented reality-based affective training for improving care communication skill and empathy
A Nakazawa, M Iwamoto, R Kurazume, M Nunoi… - PloS one, 2023 - journals.plos.org
It is important for caregivers of people with dementia (PwD) to have good patient
communication skills as it has been known to reduce the behavioral and psychological …
communication skills as it has been known to reduce the behavioral and psychological …
Dynamic viewing pattern analysis: towards large-scale screening of children with ASD in remote areas
C Xia, D Zhang, K Li, H Li, J Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Objective: Autism spectrum disorder (ASD) affects nearly 1 in 44 children younger than 8
years old in the United States, and the situation may be even worse in remote areas of the …
years old in the United States, and the situation may be even worse in remote areas of the …
Toward an attentive robotic architecture: Learning-based mutual gaze estimation in human–robot interaction
M Lombardi, E Maiettini, D De Tommaso… - Frontiers in Robotics …, 2022 - frontiersin.org
Social robotics is an emerging field that is expected to grow rapidly in the near future. In fact,
it is increasingly more frequent to have robots that operate in close proximity with humans or …
it is increasingly more frequent to have robots that operate in close proximity with humans or …