| Attributes | Values |
|---|
| rdf:type
| |
| rdfs:seeAlso
| |
| Description
| - People with amputations are using myoelectric prostheses (EMG) controlled using binary sensors of muscular activity. The prostheses typically implement the pinch grasp. Our goal was to determine whether it was possible to use the EMG as a direct input method for a computer. Our further goal was to develop a system capable of input and editing of text in MS Word environment. We use non-invasive AgCl surface electrodes for the EMG detection. The acquired signal is amplified by 60 dB and further analyzed digitally in a dedicated hardware device with USB connectivity. We implemented a system enabling text input for people with amputations, based on EMG signals acquired from users' limbs. It is however possible to engage other muscle groups, e.g. mimic muscles. We currently finish the environment for text processing in the Microsoft Word environment. The system is based on automatic generation of user interfaces based on a known configuration of the EMG sensors. We have implemented and support two types of sensors: Binary (we detect the presence of muscular activity) and continuous (we quantify this activity). It was suitable to realize both types with respect to placement on different muscle groups (e.g. a binary sensor is more suitable to detect facial muscular activity). According to the given count of binary and continuous sensors that are available to the user we generate assignment of these signals to individual text editing functions.
- People with amputations are using myoelectric prostheses (EMG) controlled using binary sensors of muscular activity. The prostheses typically implement the pinch grasp. Our goal was to determine whether it was possible to use the EMG as a direct input method for a computer. Our further goal was to develop a system capable of input and editing of text in MS Word environment. We use non-invasive AgCl surface electrodes for the EMG detection. The acquired signal is amplified by 60 dB and further analyzed digitally in a dedicated hardware device with USB connectivity. We implemented a system enabling text input for people with amputations, based on EMG signals acquired from users' limbs. It is however possible to engage other muscle groups, e.g. mimic muscles. We currently finish the environment for text processing in the Microsoft Word environment. The system is based on automatic generation of user interfaces based on a known configuration of the EMG sensors. We have implemented and support two types of sensors: Binary (we detect the presence of muscular activity) and continuous (we quantify this activity). It was suitable to realize both types with respect to placement on different muscle groups (e.g. a binary sensor is more suitable to detect facial muscular activity). According to the given count of binary and continuous sensors that are available to the user we generate assignment of these signals to individual text editing functions. (en)
|
| Title
| - ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING
- ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING (en)
|
| skos:prefLabel
| - ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING
- ELECTROMYOGRAPHIC METHODS FOR TEXT ENTRY AND EDITING (en)
|
| skos:notation
| - RIV/68407700:21230/14:00224045!RIV15-MSM-21230___
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/14:00224045
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - Assistive technology; myoelectric signals; text entry (en)
|
| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...v/mistoKonaniAkce
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| |
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Poláček, Ondřej
- Sporka, Adam
- Otáhal, J.
- Pošusta, Antonín
- Rudolf, Šimon
|
| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| - Univerzita Karlova v Praze, 3. lékařská fakulta
|
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)