Navigating from a Depth Image Converted into Sound
المؤلفون المشاركون
Stoll, Chloé
Palluel-Germain, Richard
Fristot, Vincent
Pellerin, Denis
Alleysson, David
Graff, Christian
المصدر
Applied Bionics and Biomechanics
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-02-05
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Background.
Common manufactured depth sensors generate depth images that humans normally obtain from their eyes and hands.
Various designs converting spatial data into sound have been recently proposed, speculating on their applicability as sensory substitution devices (SSDs).
Objective.
We tested such a design as a travel aid in a navigation task.
Methods.
Our portable device (MeloSee) converted 2D array of a depth image into melody in real-time.
Distance from the sensor was translated into sound intensity, stereo-modulated laterally, and the pitch represented verticality.
Twenty-one blindfolded young adults navigated along four different paths during two sessions separated by one-week interval.
In some instances, a dual task required them to recognize a temporal pattern applied through a tactile vibrator while they navigated.
Results.
Participants learnt how to use the system on both new paths and on those they had already navigated from.
Based on travel time and errors, performance improved from one week to the next.
The dual task was achieved successfully, slightly affecting but not preventing effective navigation.
Conclusions.
The use of Kinect-type sensors to implement SSDs is promising, but it is restricted to indoor use and it is inefficient on too short range.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Stoll, Chloé& Palluel-Germain, Richard& Fristot, Vincent& Pellerin, Denis& Alleysson, David& Graff, Christian. 2015. Navigating from a Depth Image Converted into Sound. Applied Bionics and Biomechanics،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1052183
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Stoll, Chloé…[et al.]. Navigating from a Depth Image Converted into Sound. Applied Bionics and Biomechanics No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1052183
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Stoll, Chloé& Palluel-Germain, Richard& Fristot, Vincent& Pellerin, Denis& Alleysson, David& Graff, Christian. Navigating from a Depth Image Converted into Sound. Applied Bionics and Biomechanics. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1052183
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1052183
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر