کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532118 869910 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication
ترجمه فارسی عنوان
بزرگترین بانک اطلاعاتی مبتنی بر حسگر مبتنی بر سنسور و ارزیابی عملکرد احراز هویت شخصی بر پایه راه رفتن است
کلمات کلیدی
احراز هویت مالک مبتنی بر صریح، سنسور ورودی پایگاه داده بزرگ سنجش عملکرد
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• We present the world largest inertial sensor-based database to the community.
• Based on the database, females have a better recognition performance than males.
• People have the best recognition performance at their twenties.
• An accelerometer has a better recognition performance than a gyroscope.

This paper presents the largest inertial sensor-based gait database in the world, which is made open to the research community, and its application to a statistically reliable performance evaluation for gait-based personal authentication. We construct several datasets for both accelerometer and gyroscope of three inertial measurement units and a smartphone around the waist of a subject, which include at most 744 subjects (389 males and 355 females) with ages ranging from 2 to 78 years. The database has several advantages: a large number of subjects with a balanced gender ratio, variations of sensor types, sensor locations, and ground slope conditions. Therefore, we can reliably analyze the dependence of gait authentication performance on a number of factors such as gender, age group, sensor type, ground condition, and sensor location. The results with the latest existing authentication methods provide several insights for these factors.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 47, Issue 1, January 2014, Pages 228–237
نویسندگان
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