An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification

Semwal, Vijay Bhaskar; Singha, Joyeeta; Sharma, Priyanka; Chauhan, Arun; Behera, Basudeba

doi:10.1007/s11042-016-4110-y

Cited by 89 publications

(31 citation statements)

References 20 publications

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“…This learning ability of our hybrid model can enhance the adapt-ability of the model and will also extend the operating zoneof the entire model [19], [20], [21], [22], [23]. The most well-known methodologies to machine learning are simulated neural systems, also knownas hereditary calculations.…”

Section: The Artificial Neural Network Approachmentioning

confidence: 99%

Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach

Raj¹,

Semwal²,

Nandi³

2018

IJIMAI

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Developing a correct model for a biped robot locomotion is extremely challenging due to its inherently unstable structure because of the passive joint located at the unilateral foot-ground contact and varying configurations throughout the gait cycle, resulting variation of dynamic descriptions and control laws from phase to phase. The present research describes the development of a hybrid biped model using an Open Dynamics Engine (ODE) based analytical three link leg model as a base model and, on top of it, an Artificial Neural Network based learning model which ensures better adaptability, better limits cycle behaviors and better generalization while negotiating along a down slope. The base model has been configured according to the individual subjects and data have been collected using a novel technique through an android app from those subjects while walking down a slope. The pattern between the deviation of the actual trajectories and the base model generated trajectories has been found using a back propagation based artificial neural network architecture. It has been observed that this base model with learning based compensation enables the biped to better adapt in a real walking environment, showing better limit cycle behaviors. We also observed the bounded nature of deviation which led us to conclude that the strategy for biped locomotion control is generic in nature and largely dominated by learning.

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Section: The Artificial Neural Network Approachmentioning

confidence: 99%

Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach

Raj¹,

Semwal²,

Nandi³

2018

IJIMAI

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“…QR C. Classification by SVM: SVM is a well-known supervised learning method [9],For the classification, we will adopt in this work support vector machine (SVM) approach which has shown particularly effective in numerous application fields including the classification of ECG signals [10]. The SVM proposed by Vapnik (1995) has been most widely used for classification.…”

Section: Decomposition Of a Signal X (N)mentioning

confidence: 99%

Cardiac arrhythmia detection in ECG signals by feature Extraction and support vector machine

Malik¹,

Kumar²,

Panda³

2017

Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering

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Abstract-Purpose of this work is to develop an automated physiologihal signal diagnostih tool that han help us to early determination of arrhythmia for proper medihal attention. This paper presents a simple automated approahh for hlassifihation of normal and abnormal ECG based on arrhythmia. The proposed method validated by the data MIT BIH arrhythmia database. The performanhe in terms of ahhurahy for hlinihal dehision must be very high. This method uses fourth order wavelet dehomposition, wavelet dehomposition used for time frequenhy representation and feature extrahtion. For hlassifihation support vehtor mahhine is used for detehtion kinds of ECG signals.

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“…Segmentation is one of udy of marketing. Phillips & Lee [22] used to develop a based approach for the Semwal, Vijay Bhaskar, et al, [23] used clustering analysis to…”

Section: Eq (1)mentioning

confidence: 99%

“…Phillips & Lee [22] used to develop a model for density change among spatial regions using density tracing-based approach for the large aggregated crime datasets. Semwal, Vijay Bhaskar, et al, [23] …”

mentioning

confidence: 99%

Applying Data Envelopment Analysis and Clustering Analysis in Enhancing the Performance of Philippine National Police - District VI in the Province of Cavite

Gatpandan¹,

Ambat²

2017

IJITCA

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An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification

Cited by 89 publications

References 20 publications

Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach

Hybrid Model for Passive Locomotion Control of a Biped Humanoid:The Artificial Neural Network Approach

Cardiac arrhythmia detection in ECG signals by feature Extraction and support vector machine

Applying Data Envelopment Analysis and Clustering Analysis in Enhancing the Performance of Philippine National Police - District VI in the Province of Cavite

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