Human Activity Recognition as Time-Series Analysis

المؤلفون المشاركون

Kim, Hyesuk
Kim, Incheol

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-10-11

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص EN

We propose a system that can recognize daily human activities with a Kinect-style depth camera.

Our system utilizes a set of view-invariant features and the hidden state conditional random field (HCRF) model to recognize human activities from the 3D body pose stream provided by MS Kinect API or OpenNI.

Many high-level daily activities can be regarded as having a hierarchical structure where multiple subactivities are performed sequentially or iteratively.

In order to model effectively these high-level daily activities, we utilized a multiclass HCRF model, which is a kind of probabilistic graphical models.

In addition, in order to get view-invariant, but more informative features, we extract joint angles from the subject’s skeleton model and then perform the feature transformation to obtain three different types of features regarding motion, structure, and hand positions.

Through various experiments using two different datasets, KAD-30 and CAD-60, the high performance of our system is verified.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Kim, Hyesuk& Kim, Incheol. 2015. Human Activity Recognition as Time-Series Analysis. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074434

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Kim, Hyesuk& Kim, Incheol. Human Activity Recognition as Time-Series Analysis. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1074434

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Kim, Hyesuk& Kim, Incheol. Human Activity Recognition as Time-Series Analysis. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1074434

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1074434