• Publications
  • Influence
Real time hand pose estimation using depth sensors
TLDR
This paper describes a depth image based real-time skeleton fitting algorithm for the hand, using an object recognition by parts approach, and the use of this hand model in an American Sign Language (ASL) digit recognition application. Expand
  • 304
  • 34
  • PDF
Hand Pose Estimation and Hand Shape Classification Using Multi-layered Randomized Decision Forests
TLDR
We introduce a novel randomized decision forest (RDF) based hand shape classifier, and use it in a novel multi---layered RDF framework for articulated hand pose estimation. Expand
  • 283
  • 27
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
TLDR
We apply Random Forests for regression (RDF-R) to 3D Hand Pose Estimation. Expand
  • 42
  • 4
Real Time Hand Pose Estimation Using Depth Sensors
TLDR
This paper describes a depth image based real-time skeleton fitting algorithm for the hand, using an object recognition by parts approach, and the use of this hand model in an American Sign Language (ASL) digit recognition application. Expand
  • 55
  • 2
Randomized decision forests for static and dynamic hand shape classification
TLDR
This paper proposes a novel algorithm to perform hand shape classification using depth sensors, without relying on color or temporal information. Expand
  • 38
  • 2
  • PDF
Modeling annotator behaviors for crowd labeling
TLDR
We focus on crowd consensus estimation of continuous labels, which is also adaptable to ordinal or binary labels. Expand
  • 21
  • 1
  • PDF
A robust multimodal fall detection method for ambient assisted living applications
TLDR
Using accelerometers together with a video sensor, a multi-modal fall detection mechanism is proposed and its performance has been evaluated. Expand
  • 12
  • 1
Multi-modal fall detection within the WeCare framework
TLDR
Falls are identified as a major health risk for the elderly and a major obstacle to independent living. Expand
  • 13
  • 1
  • PDF
ISI-Aware Modeling and Achievable Rate Analysis of the Diffusion Channel
TLDR
Analyzing the achievable rate of molecular communication via diffusion (MCvD) inherits intricacies due to its nature: MCvD channel has memory, and the heavy tail of the signal causes inter-symbol interference . Expand
  • 14
  • PDF
Reception modeling of sphere-to-sphere molecular communication via diffusion
TLDR
We propose two novel heavy-tail distributions, which are well-equipped to model the first passage time distribution for a reflective sphere transmitter and a fully absorbing sphere receiver pair. Expand
  • 5
  • PDF
...
1
2
...