Individual Recognition Based on Gait Using Multi-Distance Signal Level Difference Sample Entropy
نویسندگان
چکیده
منابع مشابه
Gait Recognition Using Gait Entropy Image
Gait as a behavioural biometric is concerned with how people walk. However, most existing gait representations capture both motion and appearance information. They are thus sensitive to changes in various covariate conditions such as carrying and clothing. In this paper, a novel gait representation termed as Gait Entropy Image (GEnI) is proposed. Based on computing entropy, a GEnI encodes in a ...
متن کاملGender Recognition Based on Gait Using Multi-View Fusion
Considering the problem of gait based gender recognition when gait information can be acquired from multiple views, this paper presents a detailed analysis on how to combine different views and proposes a fusion method derived from Bayesian theory. For feature extraction, a spatio-temporal gait representation is adopted and improved to reduce data redundancies. Then the class separability of ea...
متن کاملGait Recognition Using View Distance Vectors
This paper presents a new approach for human identification at a distance using gait recognition. Binarized silhouette of a motion object is represented by 1-D signals which are the basic image features called the distance vectors. The distance vectors are differences between the bounding box and silhouette, and extracted using four view directions to silhouette. Based on normalized correlation...
متن کاملAssessment of Anesthesia Depth Using Effective Brain Connectivity Based on Transfer Entropy on EEG Signal
Introduction: Ensuring an adequate Depth of Anesthesia (DOA) during surgery is essential for anesthesiologists. Since the effect of anesthetic drugs is on the central nervous system, brain signals such as Electroencephalogram (EEG) can be used for DOA estimation. Anesthesia can interfere among brain regions, so the relationship among different areas can be a key factor in the anesthetic process...
متن کاملReview On: GAIT Recognition Technique using SVM and K-MEANS with Gait PAL and PAL Entropy
Gait recognition is one kind of biometric technology that can be used to monitor people without their cooperation. Controlled environments such as banks, military installations and even airports need to be able to quickly detect threats and provide differing levels of access to different user groups. This paper proposed new method for gait recognition using Kmeans with Gait PAL and PAL Entropy....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ingénierie Des Systèmes D'information
سال: 2023
ISSN: ['1633-1311', '2116-7125']
DOI: https://doi.org/10.18280/isi.280223