Wyniki wyszukiwania dla: GESTURE RECOGNITION - MOST Wiedzy

Wyszukiwarka

Wyniki wyszukiwania dla: GESTURE RECOGNITION

Wyniki wyszukiwania dla: GESTURE RECOGNITION

  • Controlling computer by lip gestures employing neural network

    Publikacja

    - Rok 2010

    Results of experiments regarding lip gesture recognition with an artificial neural network are discussed. The neural network module forms the core element of a multimodal human-computer interface called LipMouse. This solution allows a user to work on a computer using lip movements and gestures. A user face is detected in a video stream from a standard web camera using a cascade of boosted classifiers working with Haar-like features....

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Metoda i algorytmy sterowania procesami miksowania dźwięku za pomocą gestów w oparciu o analizę obrazu wizyjnego

    Publikacja

    - Rok 2013

    Głównym celem rozprawy było opracowanie systemu miksowania dźwięku za pomocą gestów rąk wykonywanych w powietrzu oraz zbadanie możliwości oferowanych przez takie rozwiązanie w porównaniu ze współczesną metodą miksowania sygnałów fonicznych, wykorzystującą środowisko komputera. Opracowany system rozpoznaje zarówno dynamiczne jak i statyczne gesty rąk. Rozpoznawanie gestów dynamicznych zrealizowano w oparciu o metody logiki rozmytej...

  • The role of EMG module in hybrid interface of prosthetic arm

    Nearly 10% of all upper limb amputations concern the whole arm. It affects the mobility and reduces the productivity of such a person. These two factors can be restored by using prosthetics. However, the complexity of human arm makes restoring its basic functions quite difficult. When the osseointegration and/or targeted muscle reinnervation (TMR) are not possible, different modalities can be used to control the prosthesis. In...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Fully Automated AI-powered Contactless Cough Detection based on Pixel Value Dynamics Occurring within Facial Regions

    Publikacja

    - Rok 2021

    Increased interest in non-contact evaluation of the health state has led to higher expectations for delivering automated and reliable solutions that can be conveniently used during daily activities. Although some solutions for cough detection exist, they suffer from a series of limitations. Some of them rely on gesture or body pose recognition, which might not be possible in cases of occlusions, closer camera distances or impediments...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • Video recordings of static hand gestures for gesture based interaction

    Dane Badawcze
    open access

    This data set contains video recording of selected simple hand gestures related to sign language. The purpose of the data set is to evaluate different computer algorithms design for hand gesture detection as well as for hand features and hand pose detection and identification. The data set contains 5 video recordings in mp4 format.  Each recording is...

  • Interactions using passive optical proximity detector

    Publikacja

    - Rok 2015

    In this paper we evaluated the possible application of a passive, optical sensor as an interface for human-smart glasses interactions. The designed proximity sensor is composed of set of photodiodes and the appropriate hardware and software components. First, experiments were performed for the estimations of such parameters as distance to an object, its width and velocity. Achieved results were satisfactory. Therefore, next, a...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • The passive operating mode of the linear optical gesture sensor

    The study evaluates the influence of natural light conditions on the effectiveness of the linear optical gesture sensor, working in the presence of ambient light only (passive mode). The orientations of the device in reference to the light source were modified in order to verify the sensitivity of the sensor. A criterion for the differentiation between two states - "possible gesture" and "no gesture" - was proposed. Additionally,...

    Pełny tekst do pobrania w serwisie zewnętrznym

  • ReFlexeNN - the Wearable EMG Interface with Neural Network Based Gesture Classification

    The electromyographic activity of muscles was measured using a wireless biofeedback device. The aim of the study was to examine the possibility of creating an automatic muscle tension classifier. Several measurement series were conducted and the participant performed simple physical exercises - forcing the muscle to increase its activity accordingly to the selected scale. A small wireless device was attached to the electrodes placed...

    Pełny tekst do pobrania w serwisie zewnętrznym