Interest in human-robot coexistence, in which humans and robots share a common work
volume, is increasing in manufacturing environments. Efficient work coordination requires …

In this paper, we propose a real-time 3D hand pose estimation algorithm using the
randomized decision forest framework. Our algorithm takes a depth image as input and …

The Myo Armband (Myo) is a sensor which can be attached to the forearm, and allows to
send to devices equipped with Bluetooth muscular patterns of arm movements triggered by …

Among the elderly people, falls have become a common health problem. With a growing
population of elderly people, health systems are needed to meet the necessities of elderly …

This paper introduces a new real-time human motion parameters capturing method using
Kinect. It consists of five modules. First, the hybrid action type classifier categories human …

Activity recognition of multi-individuals (ARMI) within a group, which is essential to practical
human-centered robotics applications such as childhood education, is a particularly …

This paper proposes a model-based human pose estimation from a sequence of monocular
depth images using ridge data and data pruning. The proposed method uses the ridge data …

Recently, there has been remarkable growth of interest in the development and applications
of Time-of-Flight (ToF) depth cameras. However, despite the permanent improvement of …

Gestures are a fundamental part of human communication and are becoming a key
component of human-computer interaction. Traditionally, to teach computers to recognize …

While context-aware assistive systems (CAAS) have become ubiquitous in cars or
smartphones, most workers in production environments still rely on their skills and expertise …