Personal‐specific gait recognition based on latent orthogonal feature space
نویسندگان
چکیده
Exoskeleton has been applied in the field of medical rehabilitation and assistance. However, there are still some problems interaction between human exoskeleton, such as time delay, existence certain constraints on body, movement is hard to follow. A motion pattern recognition model based long short-term memory (LSTM) proposed, which can recognise state body. Meanwhile, orthogonalisation method integrated make personal-specific disentangling, it effectively improve generalisation ability different groups people, so effective follower exoskeleton. Compared with other traditional methods, this better performance stronger ability, significance exoskeleton algorithm.
منابع مشابه
Speaker recognition based on feature space trace
This paper presents a multiple templates matching algorithm based on feature space trace, which is used in speaker recognition. It extracts the cepstrum coefficient as feature parameter. We normalize the sequence of feature parameter based on feature space trace. The fuzzy c-means method is adopted in generating the multiple templates and the multiple matching method is applied to match the tem...
متن کاملReal Time Gait Recognition System Based on Kinect Skeleton Feature
Gait recognition is a kind of biometric feature recognition technique, which utilizes the pose of walking to recognize the identity. Generally people analyze the normal video data to extract the gait feature. These days, some researchers take advantage of Kinect to get the depth information or the position of joints for recognition. This paper mainly focus on the length of bones namely static f...
متن کاملOrthogonal Margin Maximization Projection for Gait Recognition
An efficient supervised orthogonal nonlinear dimensionality reduction algorithm, namely orthogonal margin maximization projection (OMMP), is presented for gait recognition in this paper. Taking the local neighborhood geometry structure and class information into account, the proposed algorithm aims to find a projecting matrix by maximizing the local neighborhood margin between the different cla...
متن کاملFeature extraction for speech recognition based on orthogonal acoustic-feature planes and LDA
This paper describes an attempt to extract multiple topological structures. hidden in time-spectrum (TS) patterns, by using multiple mappmg operators, and to incorporate the operators into the feature extractor of a speech recognition system. In the previous work, the author proposed a novel feature-extraction method based on MAFP/KLT (MAFP: multiple acoustic-feature planes), in which 3x3 deriv...
متن کاملManifold Learning Based Gait Feature Reduction and Recognition
The moving objectives’ images are in tensor format in reality. That using for reference the thought of tensor space dimension reduction to gain the optimal gait characters with low dimension inaugurate a new gait recognition way. A novel gait expression and recognition algorithm based on the tensor space is introduced here. It is a tensor space learning algorithm that could investigate the inhe...
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: Cognitive computation and systems
سال: 2021
ISSN: ['2517-7567']
DOI: https://doi.org/10.1049/ccs2.12007