Movement detection software to enhance autism assessment processes

Author(s):  
Roberta Simeoli ◽  
Miriana Arnucci ◽  
Angelo Rega ◽  
Davide Marocco
2020 ◽  
Vol 6 (3) ◽  
pp. 380-383
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Martin Holzwarth ◽  
Julian Sessner ◽  
Jörg Franke ◽  
...  

AbstractAll aspects of daily life increasingly include digitization. So-called „smart home“ technologies, as well as „wearables“, are gaining attention from more and more dwellers. Therefore, sensor-based, individualized, AI-based services for improved post-intervention monitoring and therapy accompaniment will become feasible and possible if these systems offer a related context-awareness. This paper provides an approach on how to sense and interpret specific contexts with the help of wearables, smartwatches, smart home sensors, and emotion detection software.


Author(s):  
U.H. Delay ◽  
B.M.T.M. Nawarathne ◽  
D.W.S.V.B. Dissanayake ◽  
M.P.B. Ekanayake ◽  
G.M.R.I. Godaliyadda ◽  
...  

2017 ◽  
Vol 139 (03) ◽  
pp. 36-41
Author(s):  
John Kosowatz

This article provides an overview of high-tech sensors, visual detection software, and mobile computing power applications, which are being developed to enable visually impaired people to navigate. By adapting technology developed for robots, automobiles, and other products, researchers and developers are creating wearable devices that can aid the visually impaired as they navigate through their daily routines—even identifying people and places. The Eyeronman system, developed by NYU’s Visuomotor Integration Laboratory and Tactile Navigation Tools, combines a sensor-laden outer garment or belt with a vest studded with vibrating actuators. The sensors detect objects in the immediate environment and relay their locations via buzzes on the wearer's torso. OrCam’s, a computer vision company in Jerusalem, team of programmers, computer engineers, and hardware designers have developed MyEye device, which attaches to the temple of a pair of eyeglasses. The device instructs the user on how to store items in memory, including things such as credit cards and faces of friends and family.


1997 ◽  
Vol 62 (5) ◽  
pp. 522-526 ◽  
Author(s):  
T D Griffiths ◽  
D Bates ◽  
A Rees ◽  
C Witton ◽  
A Gholkar ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document