Capacitive facial movement detection for human-computer interaction to click by frowning and lifting eyebrows: assistive technology.
A capacitive facial movement detection method designed for human-computer interaction is presented. Some point-and-click interfaces use facial electromyography for clicking. The presented method provides a contactless alternative. Electrodes with no galvanic coupling to the face are used to form ele...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 48; no. 1; pp. 39 - 48 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2010
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104908396&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104908396 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2010 vid: 48 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104908396 104908396 NLM20016948 2010537916 10.1007/s11517-009-0565-6 NLM20016948 104908396 ppf: 39 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Capacitive facial movement detection for human-computer interaction to click by frowning and lifting eyebrows: assistive technology. aug: au: Rantanen V Niemenlehto PH Verho J Lekkala J Rantanen, Ville Niemenlehto, Pekka-Henrik Verho, Jarmo Lekkala, Jukka affil: Department of Automation Science and Engineering, Tampere University of Technology, Tampere, Finland sug: subj: Facial Expression Assistive Technology Devices User-Computer Interface Adult Equipment Design Eyebrows Physiology Female Human Male Movement Physiology Signal Processing, Computer Assisted Young Adult Adult: 19-44 years Female Male ab: A capacitive facial movement detection method designed for human-computer interaction is presented. Some point-and-click interfaces use facial electromyography for clicking. The presented method provides a contactless alternative. Electrodes with no galvanic coupling to the face are used to form electric fields. Changes in the electric fields due to facial movements are detected by measuring capacitances between the electrodes. A prototype device for measuring a capacitance signal affected by frowning and lifting eyebrows was constructed. A commercial integrated circuit for capacitive touch sensors is used in the measurement. The applied movement detection algorithm uses an adaptive approach to provide operation capability in noisy and dynamic environments. Experimentation with 10 test subjects proved that, under controlled circumstances, the movements are detected with good efficiency, but characterizing the movements into frowns and eyebrow lifts is more problematic. Integration with a two-dimensional (2D) pointing solution and further experiments are still required. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|