Avaliação de usabilidade, desempenho ocupacional e satisfação com sistema de controle de ambiente inteligente por pessoas com deficiência motora severa através de eletromiografia de superfície e oculografia por infravermelho
Notice bibliographique
Résumé
A smart environment (SE) is an Assistive Technology (AT) resource that allows people with motor disabilities, even with low mobility, to control the lighting and electronic equipment (TV, radio, fan, etc) of the environment through a Human-Machine Interface (HMI) configured to be activated by biomedical signals. However, despite the recognized importance, the AT resource is not always considered useful, reaching high abandonment rates, since a prior assessment and prescription by professionals is necessary, taking into account the real demands and needs of the person with disability. This Doctoral Thesis aims to evaluate the effectiveness of a smart environment system controlled by surface electromyography and by infrared oculography, captured by an eye tracker, used by people with motor disabilities. Six volunteers participated in the research, and, initially, were applied socio-demographic data forms, Functional Independence Measure (FIM TM) and Canadian Occupational Performance Measure (COPM). The subjects were presented to the equipment and system interface, being trained for their use in domestic environment, using the system for a week. Afterwards, they were re-evaluated with the COPM, besides evaluations of satisfaction with the use of the AT resource (form B-QUEST 2.0), psychosocial impact (form PIADS), usability of the system (SUS form) and semi-structured interview for suggestions or complaints. The control of TV was the common demand of all participants. As a result of this research, of the six volunteers, four used the system, presenting positive results regarding the change in occupational performance, satisfaction with performance and the smart environment system, high psychosocial impact and good system usability. It was evaluated that the developed system also provided greater independence of the volunteers for the control of the equipment. Regarding the volunteers who did not use the system, aspects such as nonacceptance of the disability and lack of social support may have influenced. The SE system proved to be effective, improving all aspects evaluated in the participants. A patent application of the developed system was submitted to INIT-UFES. Future studies should consider expanding the possibilities of controlled equipment and devices, as well as the time of use.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,004 | 0,001 |
| Intégrité de la recherche | 0,006 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».