Deep Fisher discriminant learning for mobile hand gesture recognition
Gesture recognition becomes a popular analytics tool for extracting the characteristics of
user movement and enables numerous practical applications in the biometrics field. Despite …
user movement and enables numerous practical applications in the biometrics field. Despite …
Enhanced communication support for aphasia using gesture recognition: The bedroom scenario
A Guimarães, AP Rocha, L Santana… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Citizens with speech and language disorders, such as Aphasia, often experience difficulties
in expressing their needs. Assistive technologies for these disorders rely mostly on graphical …
in expressing their needs. Assistive technologies for these disorders rely mostly on graphical …
[HTML][HTML] Gait characterization in Duchenne muscular dystrophy (DMD) using a single-sensor accelerometer: classical machine learning and deep learning …
Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and
typically developing (TD) peers are visible to the eye, but quantifications of those differences …
typically developing (TD) peers are visible to the eye, but quantifications of those differences …
Gesture recognition
M Goel, K Cummings, P Laigar, D Switzer… - US Patent …, 2022 - Google Patents
(57) ABSTRACT A wrist-worn athletic performance monitoring system, including a gesture
recognition processor configured to execute gesture recognition processes. Interaction with …
recognition processor configured to execute gesture recognition processes. Interaction with …
Smartphone accelerometer-based gesture recognition and its robotic application
SH Nam, JH Kim, SK Heo, IC Kim - KIPS transactions on software …, 2013 - koreascience.kr
We propose an accelerometer-based gesture recognition method for smartphone users. In
our method, similarities between a new time series accelerometer data and each gesture …
our method, similarities between a new time series accelerometer data and each gesture …
Comparing the placement of two arm-worn devices for recognizing dynamic hand gestures
Dynamic hand gestures have become increasingly popular as an input modality for
interactive systems. There exists a variety of arm-worn devices for the recognition of hand …
interactive systems. There exists a variety of arm-worn devices for the recognition of hand …
Evaluating the placement of arm-worn devices for recognizing variations of dynamic hand gestures
K Kefer, C Holzmann… - Journal of Mobile …, 2017 - journals.riverpublishers.com
Dynamic hand gestures have become increasingly popular as touch-free input modality for
interactive systems. There exists a variety of arm-worn devices for the recognition of hand …
interactive systems. There exists a variety of arm-worn devices for the recognition of hand …
[PDF][PDF] Mobile gesture recognition using hierarchical recurrent neural network with bidirectional long short-term memory
MC Lee, SB Cho - Proceedings of UBICOMM, 2012 - personales.upv.es
As the sensors embedded to a smartphone are proliferating, many application systems for
context-aware services are actively investigated. This paper proposes a gesture recognition …
context-aware services are actively investigated. This paper proposes a gesture recognition …
Driving pattern recognition system using smartphone sensor stream
CW Song, KW Nam, CW Lee - Journal of the Korea Industrial …, 2012 - koreascience.kr
The database for driving patterns can be utilized in various system such as automatic driving
system, driver safety system, and it can be helpful to monitor driving style. Therefore, we …
system, driver safety system, and it can be helpful to monitor driving style. Therefore, we …
An acceleration feature-based gesture recognition system
HC Chu, SC Huang, JJ Liaw - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
With the diversification of the sensing element that was built-in smart mobile device, it has
become one of the important devices in people's daily life. Among these sensors, the …
become one of the important devices in people's daily life. Among these sensors, the …