3-D hand motion tracking and gesture recognition using a data glove
Hand motion tracking and gesture recognition are a fundamental technology in the field of
proactive computing for a better human computer interaction system. In this paper, we have …
proactive computing for a better human computer interaction system. In this paper, we have …
The light and dark side of the black box: Sensor-based technology in the automotive industry
Diverse aspects of our everyday lives increasingly feature sensor-based technologies.
Despite the importance of understanding how business and consumers exploit and adopt …
Despite the importance of understanding how business and consumers exploit and adopt …
Wireless gesture recognition system using MEMS accelerometer
O Sidek, MA Hadi - 2014 International Symposium on …, 2014 - ieeexplore.ieee.org
Gesture recognition system is a system to interpret movement of hand or head via
algorithms. Algorithms to interpret gesture are in the form of software, hardware or …
algorithms. Algorithms to interpret gesture are in the form of software, hardware or …
Dynamic gesture recognition using signal processing based on fuzzy nominal scales
T Allevard, E Benoit, L Foulloy - Measurement, 2005 - Elsevier
During the conversion of the state of a physical entity to an information entity the
measurement process preserves a part of the properties of the set of physical states. The set …
measurement process preserves a part of the properties of the set of physical states. The set …
Robot Competition Using Gesture Based Interface
HS Park, EY Kim, HJ Kim - … 18th International Conference on Industrial and …, 2005 - Springer
This paper developed a robot competition system using a gesture based interface. The used
interface recognizes a gesture as meaningful movements from a fixed camera and controls a …
interface recognizes a gesture as meaningful movements from a fixed camera and controls a …
An HMM based gesture recognition for perceptual user interface
HS Park, EY Kim, SS Jang, HJ Kim - Pacific-Rim Conference on …, 2004 - Springer
This paper proposes a novel hidden Markov model (HMM)-based gesture recognition
method and applies it to the HCI to control a computer game. The novelty of the proposed …
method and applies it to the HCI to control a computer game. The novelty of the proposed …
[PDF][PDF] Gestures recognition based on the fusion of Hand positioning and Arm gestures
To improve the link between operators and equipment, communication systems have begun
using natural (user-oriented) languages such as speech and gestures. Our goal is to present …
using natural (user-oriented) languages such as speech and gestures. Our goal is to present …
[PDF][PDF] Nano-material based flexible radio frequency sensors for wearable health and environment monitoring: Designs and prototypes utilizing 3d/inkjet printing …
T Le - 2016 - repository.gatech.edu
NANO-MATERIAL BASED FLEXIBLE RADIO FREQUENCY SENSORS FOR WEARABLE
HEALTH AND ENVIRONMENT MONITORING: DESIGNS AND PROTOTYPES UTIL Page 1 …
HEALTH AND ENVIRONMENT MONITORING: DESIGNS AND PROTOTYPES UTIL Page 1 …
Forearm motion tracking with estimating joint angles from inertial sensor signals
JH Kim, ND Thang, HS Suh… - 2009 2nd International …, 2009 - ieeexplore.ieee.org
In this paper, we have attempted forearm movement tracking in 3-D by estimating joint
angles of a forearm with an inertial measurement unit (IMU) consisting of a tri-axis …
angles of a forearm with an inertial measurement unit (IMU) consisting of a tri-axis …
木構造を有する階層型確率ニューラルネットの提案と指形状識別への応用
岡本勝, 村上樹里, 柴建次, 辻敏夫 - 計測自動制御学会論文集, 2007 - jlc.jst.go.jp
This paper proposes a new pattern classification method using probabilistic neural networks
with hie rarchical structure. In this method, a log-linearized Gaussian mixture networkas a …
with hie rarchical structure. In this method, a log-linearized Gaussian mixture networkas a …