|
|
|
|
|
Hanif Fakhrurroja,Carmadi Machbub,Ary Setijadi Prihatmanto,Ayu Purwarianti
Pág. pp. 44 - 67
This paper proposes a way to control home appliances using a multimodal interaction system such as speech, gestures, and smartphone applications. The sensor to capture speech, in the Indonesian language, and gestures from users are Kinect v2. Speech reco...
ver más
|
|
|
|
|
|
|
|
|
Yassine Bouteraa, Ismail Ben Abdallah, Atef Ibrahim and Tariq Ahamed Ahanger
The last few years have seen significant advances in neuromotor rehabilitation technologies, such as robotics and virtual reality. Rehabilitation robotics primarily focuses on devices, control strategies, scenarios and protocols aimed at recovering senso...
ver más
|
|
|
|
|
|
|
|
|
Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay and Lorena Isabel Barona López
Hand gesture recognition systems have several applications including medicine and engineering. A gesture recognition system should identify the class, time, and duration of a gesture executed by a user. Gesture recognition systems based on electromyograp...
ver más
|
|
|
|
|
|
|
|
|
Georgios Paraskevopoulos, Evaggelos Spyrou, Dimitrios Sgouropoulos, Theodoros Giannakopoulos and Phivos Mylonas
In this paper we present an approach towards real-time hand gesture recognition using the Kinect sensor, investigating several machine learning techniques. We propose a novel approach for feature extraction, using measurements on joints of the extracted ...
ver más
|
|
|
|
|
|
|
|
|
Oka, K. Sato, Y. Koike, H.
Pág. 64 - 71
|
|
|
|