Computational modeling of human multimodal language is an emerging research area in
natural language processing spanning the language, visual and acoustic modalities …

Artificial autonomous agents and robots interacting in complex environments are required to
continually acquire and fine-tune knowledge over sustained periods of time. The ability to …

Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning
of knowledge through experience. However, conventional deep neural models for action …

Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …

The paper presents a systematic review of acoustic modeling (AM) techniques in speech
recognition (SR). Acoustic modeling establishes a relationship between acoustic information …

K-means is a well-known unsupervised-learning algorithm. It assigns data points to k
clusters, the centers of which are termed centroids. However, these centroids have a …

Visual neurons can perceive external illumination, and some electric pulses are triggered to
wake up visuals nervous system. Doping and coating of light-sensitive media in electric …

In this article, we study activity recognition in the context of sensor-rich environments. In
these environments, many different constraints arise at various levels during the data …

We present a system for temporal detection of social interactions. Many of the works until
now have succeeded in recognising activities from clipped videos in datasets, but for robotic …

Modern service robots are provided with one or more sensors, often including RGB-D
cameras, to perceive objects and humans in the environment. This paper proposes a new …