Sensors for gesture recognition systems
A gesture recognition system (GRS) is comprised of a gesture, gesture-capture device
(sensor), tracking algorithm (for motion capture), feature extraction, and classification …
(sensor), tracking algorithm (for motion capture), feature extraction, and classification …
A framework for hand gesture recognition based on accelerometer and EMG sensors
This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …
[HTML][HTML] Machine learning methods for classifying human physical activity from on-body accelerometers
A Mannini, AM Sabatini - Sensors, 2010 - mdpi.com
The use of on-body wearable sensors is widespread in several academic and industrial
domains. Of great interest are their applications in ambulatory monitoring and pervasive …
domains. Of great interest are their applications in ambulatory monitoring and pervasive …
A hand gesture recognition framework and wearable gesture-based interaction prototype for mobile devices
An algorithmic framework is proposed to process acceleration and surface
electromyographic (SEMG) signals for gesture recognition. It includes a novel segmentation …
electromyographic (SEMG) signals for gesture recognition. It includes a novel segmentation …
[图书][B] Handbook of virtual environments: Design, implementation, and applications
KS Hale, KM Stanney - 2014 - books.google.com
This second edition of a bestseller presents systematic and extensive coverage of the
primary areas of research and development within VE technology. It brings together a …
primary areas of research and development within VE technology. It brings together a …
3d gestural interaction: The state of the field
JJ LaViola Jr - International Scholarly Research Notices, 2013 - Wiley Online Library
3D gestural interaction provides a powerful and natural way to interact with computers using
the hands and body for a variety of different applications including video games, training and …
the hands and body for a variety of different applications including video games, training and …
A novel accelerometer-based gesture recognition system
In this paper, we address the problem of gesture recognition using the theory of random
projection (RP) and by formulating the whole recognition problem as an 1-minimization …
projection (RP) and by formulating the whole recognition problem as an 1-minimization …
Self-aware computing systems
This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …
engineering perspective. It first comprehensively introduces fundamentals for self …
Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, & compressive sensing
We propose a gesture recognition system based primarily on a single 3-axis accelerometer.
The system employs dynamic time warping and affinity propagation algorithms for training …
The system employs dynamic time warping and affinity propagation algorithms for training …
BLSTM-RNN based 3D gesture classification
G Lefebvre, S Berlemont, F Mamalet… - Artificial Neural Networks …, 2013 - Springer
This paper presents a new robust method for inertial MEM (MicroElectroMechanical
systems) 3D gesture recognition. The linear acceleration and the angular velocity …
systems) 3D gesture recognition. The linear acceleration and the angular velocity …