Using hand gestures is a natural method of interaction between humans and computers. We
use gestures to express meaning and thoughts in our everyday conversations. Gesture …

Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

A real-time fingertip-gesture-based interface is still challenging for human–computer
interactions, due to sensor noise, changing light levels, and the complexity of tracking a …

Artificial Intelligence (AI) has fascinated the present study assigned to multiple areas such as
distress detection on the pavement, pothole detection, and healthcare. The distress …

Capturing the skeleton motion and detailed time-varying surface geometry of multiple,
closely interacting peoples is a very challenging task, even in a multicamera setup, due to …

Human action recognition from a video scene has remained a challenging problem in the
area of computer vision and pattern recognition. The development of the low-cost RGB …

In this paper, we investigate the benefit of 3D hand skeletal information to the task of sign
language (SL) recognition from RGB videos, within a state-of-the-art, multiple-stream, deep …

In the last few years, Intel has launched several low-cost RGB-D cameras. Three of these
cameras are the SR305, the L415, and the L515. These three cameras are based on …

Awkward and improper postures and motions reduce productivity and increase project costs
in the modular construction industry. Ergonomic assessment is essential to identify, mitigate …

At the light of the fundamentals of Compressive Sensing (CS) presented in Chapter 3, it is
clear that the phase-shift-based ToF imaging systems described in Chapter 2 offer an …