![](/images/graphics-bg.png)
Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot
المؤلفون المشاركون
Yu, Wenwei
Xie, Le
Nakahata, Keigo
Sun, Guanghao
Namiki, Akio
Suwa, Sayuri
Tsujimura, Mayuko
Wang, Jinwu
Huang, Shao Ying
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-28
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
الملخص EN
Mobile robotics is a potential solution to home behavior monitoring for the elderly.
For a mobile robot in the real world, there are several types of uncertainties for its perceptions, such as the ambiguity between a target object and the surrounding objects and occlusions by furniture.
The problem could be more serious for a home behavior-monitoring system, which aims to accurately recognize the activity of a target person, in spite of these uncertainties.
It detects irregularities and categorizes situations requiring further explorations, which strategically maximize the information needed for activity recognition while minimizing the costs.
Two schemes of active sensing, based on two irregularity detections, namely, heuristic-based and template-matching-based irregularity detections, were implemented and examined for body contour-based activity recognition.
Their time cost and accuracy in activity recognition were evaluated through experiments in both a controlled scenario and a home living scenario.
Experiment results showed that the categorized further explorations guided the robot system to sense the target person actively.
As a result, with the proposed approach, the robot system has achieved higher accuracy of activity recognition.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yu, Wenwei& Nakahata, Keigo& Sun, Guanghao& Namiki, Akio& Suwa, Sayuri& Tsujimura, Mayuko…[et al.]. 2017. Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181173
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yu, Wenwei…[et al.]. Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot. Journal of Healthcare Engineering No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1181173
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yu, Wenwei& Nakahata, Keigo& Sun, Guanghao& Namiki, Akio& Suwa, Sayuri& Tsujimura, Mayuko…[et al.]. Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1181173
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181173
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)