In this work, we show that a late fusion approach to multimodality in sign language
recognition improves the overall ability of the model in comparison to the singular …

In this paper, a novel data augmentation method for time-series classification is proposed. In
the introduced method, a new time-series is obtained in warped space between …

Image-based posture recognition is a very challenging problem as it is difficult to acquire
rich 3D information from postures in 2D images. Existing methods founded on 3D skeleton …

The paper presents a method for the recognition of human actions based on skeletal data. A
novel Bone Pair Descriptor is proposed, which encodes the angular relations between pairs …

In this paper, a method for the recognition of static hand postures based on skeletal data
was presented. A novel descriptor was proposed. It encodes information about distances …

Visual sensors have characteristics that make them interesting as sources of information for
any process or system. On the one hand, they are able to capture a very precise and high …

Abstract Children with Special Needs with hearing impairment have hearing loss, classified
as deaf and hard of hearing. Hearing loss in children with special needs is associated with …

In modern Human-Robot Interaction, much thought has been given to accessibility regarding
robotic locomotion, specifically the enhancement of awareness and lowering of cognitive …

El lenguaje de señas según la OMS es utilizado por 360 millones de personas en el mundo
que presentan pérdida parcial o total de la audición. Por medio de este tipo de lenguaje …

As a social being, communication and understanding are essential to human socialization.
In deaf communities, the form of communication is non-verbal as the deaf communicates …