Nothing Special   »   [go: up one dir, main page]

APSIPA Transactions on Signal and Information Processing > Vol 6 > Issue 1

Sensification of computing: adding natural sensing and perception capabilities to machines

Industrial Technology Advances

Achintya K. Bhowmik, Intel Corporation, USA, achintya.k.bhowmik@intel.com
 
Suggested Citation
Achintya K. Bhowmik (2017), "Sensification of computing: adding natural sensing and perception capabilities to machines", APSIPA Transactions on Signal and Information Processing: Vol. 6: No. 1, e1. http://dx.doi.org/10.1017/ATSIP.2016.19

Publication Date: 18 Jan 2017
© 2017 Achintya K. Bhowmik
 
Subjects
 
Keywords
3D sensingPerceptual computingInteractive devicesIntelligent systemsAutonomous machinesVirtual and augmented reality
 

Share

Open Access

This is published under the terms of the Creative Commons Attribution licence.

Downloaded: 1746 times

In this article:
I. INTRODUCTION 
II. HUMAN 3D-SENSING SYSTEM 
III. 3D-SENSING TECHNOLOGIES AND SYSTEMS 
IV. INTEL® REALSENSE TECHNOLOGY 
V. SYSTEMS AND APPLICATIONS 
VI. SUMMARY 

Abstract

The world of intelligent and interactive systems is undergoing an era of unprecedented innovation and advanced development. With the rapid progress in natural sensing and perceptual computing technologies, devices and machines are increasingly being endowed with the abilities to sense and understand the world, navigate in the environment, and interact with humans in natural ways. Interfaces based on touch sensing and speech recognition are now ubiquitous, and the race is on to the next frontiers of machine intelligence and interactions based on three-dimensional (3D) sensing. In this paper, we review the recent progress in the development of real-time 3D-sensing technologies and their deployment in a new class of interactive and autonomous systems. As an example of a commercially available platform, we describe the Intel® RealSense technologies, as well as its deployments in a new class of interactive and autonomous systems and applications.

DOI:10.1017/ATSIP.2016.19