The Contribution of Visual & Somatosensory Input to Target Localization During the Performance of a Precision Grasping & Placement Task
Notice bibliographique
Résumé
Objective: Binocular vision provides the most accurate and precise depth information; however, many people have impairments in binocular visual function. It is currently unknown whether depth information from another modality can improve depth perception during action planning and execution. Therefore, the goal of this thesis was to assess whether somatosensory input improves target localization during the performance of a precision placement task. It was hypothesized that somatosensory input regarding target location will improve task performance. \n \nMethods: Thirty visually normal participants performed a bead-threading task with their right hand during binocular and monocular viewing. Upper limb kinematics and eye movements were recorded using the Optotrak and EyeLink 2 while participants picked up the beads and placed them on a vertical needle. In study 1, somatosensory and visual feedback provided input about needle location (i.e., participants could see their left hand holding the needle). In study 2, only somatosensory feedback was provided (i.e., view of the left hand holding the needle was blocked, and practice trials were standardized). The main outcome variables that were examined were placement time, peak acceleration, and mean position and variability of the limb along the trajectory. A repeated analysis of variance with 2 factors, Viewing Condition (binocular/left eye monocular/right eye monocular) and Modality (vision/somatosensory) was used to test the hypothesis. \n \nResults: Results from study 1 were in accordance with our hypothesis, showing a significant interaction between viewing condition and modality for placement time (p=0.0222). Specifically, when somatosensory feedback was provided, placement time was >150 ms shorter in both monocular viewing conditions compared to the vision only condition. In contrast, somatosensory feedback did not significantly affect placement time during binocular viewing. There was no evidence to support that motor planning was improved when somatosensory input about end target location was provided. Limb trajectory showed a deviation toward needle location along azimuth at various kinematic markers during movement execution when somatosensory feedback was provided. Results from study 2 showed a main effect of modality for placement time (p=0.0288); however, the interaction between modality and vision was not significant. The results also showed that somatosensory input was associated with faster movement times and higher peak accelerations. Similar to study one, limb trajectory showed a deviation toward needle location at various kinematic markers during movement execution when somatosensory feedback was provided. \n \nConclusions: This study demonstrated that information from another modality can improve planning and execution of reaching movements under certain conditions. It may be that the role of somatosensory input is not as effective when practice is not administered. It is important to note that despite the improved performance when somatosensory input was provided, performance did not reach the same level as was found during binocular viewing. These findings provide new knowledge about multisensory integration during the performance of a high precision manual task, and this information can be useful when designing new training regimens for people with abnormal binocular vision.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».