کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6867372 | 1439843 | 2018 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Detection of bimanual gestures everywhere: Why it matters, what we need and what is missing
ترجمه فارسی عنوان
تشخیص حرکات دو طرفه در همه جا: چرا مهم است، آنچه ما نیاز داریم و چه چیزی از دست رفته است
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کلمات کلیدی
شناسایی فعالیت های انسانی، تشخیص ژست، سنسورهای پوشیدنی سنسورهای اینرسی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Bimanual gestures are of the utmost importance for the study of motor coordination in humans and in everyday activities. A reliable detection of bimanual gestures in unconstrained environments is fundamental for their clinical study and to assess common activities of daily living. This paper investigates techniques for a reliable, unconstrained detection and classification of bimanual gestures. The work assumes the availability of inertial data originating from the two hands/arms, builds upon a previously developed technique for gesture modeling based on Gaussian Mixture Modeling (GMM) and Gaussian Mixture Regression (GMR), and compares different modeling and classification techniques, which are based on a number of assumptions inspired by literature about how bimanual gestures are represented and modeled in the brain. Experiments show results related to 5 everyday bimanual activities, which have been selected on the basis of three main parameters: (not) constraining the two hands by a physical tool, (not) requiring a specific sequence of single-hand gestures, being recursive (or not). In the best performing combination of modeling approach and classification technique, we achieve overall accuracy, precision, recall and F1-score above 80%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 99, January 2018, Pages 30-49
Journal: Robotics and Autonomous Systems - Volume 99, January 2018, Pages 30-49
نویسندگان
Divya Shah, Ernesto Denicia, Tiago Pimentel, Barbara Bruno, Fulvio Mastrogiovanni,