%0 Journal Article %1 Harwin1990 %A Harwin, W. S. %A Jackson, R. D. %D 1990 %J J Biomed Eng %K Adult; Assisted; Cerebral Palsy; Communication Aids for Disabled; Computer Graphics; Female; Gestures; Head; Humans; Kinesics; Markov Chains; Observer Variation; Self-Help Devices; Signal Processing, Computer-; Software; Transducers; User-Computer Interface %N 3 %P 193--198 %T Analysis of intentional head gestures to assist computer access by physically disabled people. %V 12 %X Any human-computer interface requires both a means of transducing information flowing from the person and a way of classifying this information in a form that can be used by an application program. Since several interface devices exploit the head movements of disabled people to control computers, this paper includes a discussion of existing technologies based on head movements. As an alternative to simple techniques based on pointing to classify this information, this paper studies the possibility of using a combination of pointing and movement gestures to control an application program. By using hidden Markov models to classify movements into 'yes', 'no' and spurious gestures, it was possible to control a simple graphics application program. Subsequent analysis showed that the hidden Markov models achieved a 74\% success rate.

@article{Harwin1990, abstract = {Any human-computer interface requires both a means of transducing information flowing from the person and a way of classifying this information in a form that can be used by an application program. Since several interface devices exploit the head movements of disabled people to control computers, this paper includes a discussion of existing technologies based on head movements. As an alternative to simple techniques based on pointing to classify this information, this paper studies the possibility of using a combination of pointing and movement gestures to control an application program. By using hidden Markov models to classify movements into 'yes', 'no' and spurious gestures, it was possible to control a simple graphics application program. Subsequent analysis showed that the hidden Markov models achieved a 74\% success rate.}, added-at = {2014-07-19T20:25:34.000+0200}, author = {Harwin, W. S. and Jackson, R. D.}, biburl = {https://www.bibsonomy.org/bibtex/2defb5cfdc23770be111df3564196e588/ar0berts}, groups = {public}, interhash = {507c029bee0b42b40b6df567edc25454}, intrahash = {defb5cfdc23770be111df3564196e588}, journal = {J Biomed Eng}, keywords = {Adult; Assisted; Cerebral Palsy; Communication Aids for Disabled; Computer Graphics; Female; Gestures; Head; Humans; Kinesics; Markov Chains; Observer Variation; Self-Help Devices; Signal Processing, Computer-; Software; Transducers; User-Computer Interface}, month = May, number = 3, pages = {193--198}, pmid = {2140869}, timestamp = {2014-07-19T20:25:34.000+0200}, title = {Analysis of intentional head gestures to assist computer access by physically disabled people.}, username = {ar0berts}, volume = 12, year = 1990 }