Pub Date : 2016-11-24DOI: 10.1109/TENCON.2016.7848435
A. Kouzani, S. Adams, Russell Oliver, Y. Nguwi, B. Hemsley, S. Balandin
3D food printing is emerging as a high-resolution computer-aided-design and additive-manufacturing approach for producing food products. The benefits offered by 3D food printing include custom design and production of visually appealing foods, making of foods for people with special needs (e.g., people with swallowing difficulties), reduction in design and fabrication time and cost, and decrease in dependency on skilled personnel. This paper presents three-dimensional (3D) printing of a pavlova with chocolate garnish. Since the pavlova mixture mainly consists of eggwhite foam, its 3D printing is a challenging exercise. The materials and equipment used to 3D print the pavlova and the chocolate garnish are described. The preparation of meringue, design of pavlova, printing of pavlova, baking of pavlova, design of chocolate garnish, printing of chocolate garnish, and assembly of the pavlova are explained. The obtained results are presented and discussed, and the new opportunities that 3D food printing can offer are highlighted.
{"title":"3D printing of a pavlova","authors":"A. Kouzani, S. Adams, Russell Oliver, Y. Nguwi, B. Hemsley, S. Balandin","doi":"10.1109/TENCON.2016.7848435","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848435","url":null,"abstract":"3D food printing is emerging as a high-resolution computer-aided-design and additive-manufacturing approach for producing food products. The benefits offered by 3D food printing include custom design and production of visually appealing foods, making of foods for people with special needs (e.g., people with swallowing difficulties), reduction in design and fabrication time and cost, and decrease in dependency on skilled personnel. This paper presents three-dimensional (3D) printing of a pavlova with chocolate garnish. Since the pavlova mixture mainly consists of eggwhite foam, its 3D printing is a challenging exercise. The materials and equipment used to 3D print the pavlova and the chocolate garnish are described. The preparation of meringue, design of pavlova, printing of pavlova, baking of pavlova, design of chocolate garnish, printing of chocolate garnish, and assembly of the pavlova are explained. The obtained results are presented and discussed, and the new opportunities that 3D food printing can offer are highlighted.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129281805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-22DOI: 10.1109/TENCON.2016.7848275
Mengdi Xu, Jun Cheng, D. Wong, A. Taruya, A. Tanaka, Jiang Liu, N. Foin, P. Wong
Vulnerable plaque detection to identify plaque is important in coronary heart disease diagnosis. Currently, it is conducted through manual reading of intravascular optical coherence tomography (IVOCT) images by an interventional cardiologist. However, human reading and understanding is highly subjective. An objective and automated assessment of plaque status is highly needed. This paper proposes a method for automatic image classification in IVOCT images based on different lesion types. In the proposed method, we first use detail-preserving anisotropic diffusion to remove speckle noise in IVOCT images. It removes the noise without losing details. Then, the IVOCT images are transformed to polar coordinates for feature extraction. In particular, Fisher vector and other texture features including local binary pattern and histogram of oriented gradients are studied. Finally, a support vector machine classifier is obtained to classify the IVOCT images into five groups: Normal (normal), FP (fibrous plaque), FA (fibroatheroma), PR (plaque rupture), and FC (fibrocalcific plaque). These five groups are obtained according to lesion characteristics. We evaluate the proposed method in a dataset of 1,000 images with five groups. Experimental results show that the proposed method achieves an average accuracy of 90% in image classification. The proposed automatic IVOCT image classification method can be used to save time and cost of cardiologist.
{"title":"Automatic image classification in intravascular optical coherence tomography images","authors":"Mengdi Xu, Jun Cheng, D. Wong, A. Taruya, A. Tanaka, Jiang Liu, N. Foin, P. Wong","doi":"10.1109/TENCON.2016.7848275","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848275","url":null,"abstract":"Vulnerable plaque detection to identify plaque is important in coronary heart disease diagnosis. Currently, it is conducted through manual reading of intravascular optical coherence tomography (IVOCT) images by an interventional cardiologist. However, human reading and understanding is highly subjective. An objective and automated assessment of plaque status is highly needed. This paper proposes a method for automatic image classification in IVOCT images based on different lesion types. In the proposed method, we first use detail-preserving anisotropic diffusion to remove speckle noise in IVOCT images. It removes the noise without losing details. Then, the IVOCT images are transformed to polar coordinates for feature extraction. In particular, Fisher vector and other texture features including local binary pattern and histogram of oriented gradients are studied. Finally, a support vector machine classifier is obtained to classify the IVOCT images into five groups: Normal (normal), FP (fibrous plaque), FA (fibroatheroma), PR (plaque rupture), and FC (fibrocalcific plaque). These five groups are obtained according to lesion characteristics. We evaluate the proposed method in a dataset of 1,000 images with five groups. Experimental results show that the proposed method achieves an average accuracy of 90% in image classification. The proposed automatic IVOCT image classification method can be used to save time and cost of cardiologist.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-22DOI: 10.1109/TENCON.2016.7848683
A. Zuhdi, J. McKendry, R. Henderson, E. Gu, M. Dawson, I. Underwood
Solid-state lighting is a rapidly developing field. Visible Light Emitting Diodes (LEDs) are becoming more efficient, have high reliability and can be incorporated into many lighting applications. LED is predicted to become the main source of general illumination due to its high energy efficiency. Such source can also modulate at high speed, thus offering a prospect of illumination and communications simultaneously. Various modulation techniques have been employed such as OOK and OFDM, where the latter has shown ability to transmit into Gb/s region. However, OFDM requires high linearity response from the driver's optical power output. In this paper, we present a drive circuit for GaN μLED which employs on-chip optical feedback technique to suppress non-linearity of the optical power output from the μLED for Visible Light Communication (VLC) with OFDM modulation.
{"title":"GaN based μLED drive circuit for Visible Light Communication (VLC) with improved linearity using on-chip optical feedback","authors":"A. Zuhdi, J. McKendry, R. Henderson, E. Gu, M. Dawson, I. Underwood","doi":"10.1109/TENCON.2016.7848683","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848683","url":null,"abstract":"Solid-state lighting is a rapidly developing field. Visible Light Emitting Diodes (LEDs) are becoming more efficient, have high reliability and can be incorporated into many lighting applications. LED is predicted to become the main source of general illumination due to its high energy efficiency. Such source can also modulate at high speed, thus offering a prospect of illumination and communications simultaneously. Various modulation techniques have been employed such as OOK and OFDM, where the latter has shown ability to transmit into Gb/s region. However, OFDM requires high linearity response from the driver's optical power output. In this paper, we present a drive circuit for GaN μLED which employs on-chip optical feedback technique to suppress non-linearity of the optical power output from the μLED for Visible Light Communication (VLC) with OFDM modulation.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126220957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-22DOI: 10.1109/TENCON.2016.7848588
Kavina S. Dayal, R. Deo, A. Apan
The application of wavelet transformation has become a popular area of interest in hydrological modeling as it enables the use of spectral and temporal information contained in input data. Drought modeling is one such area that is still far from complete, considering the stochastic nature of drought characteristics per every drought events. This study therefore aims to predict a drought index, i.e. the Standardized Precipitation Index (SPI), using artificial neural network (ANN) and a hybrid ANN with wavelet analysis (WA-ANN) using four main inputs: precipitation, potential evapotranspiration, Southern Oscillation Index, and Nino 4 index for Brisbane, Australia. For WA-ANN, the four inputs were decomposed into three detail and one approximation levels using Daubechies-4 (db4) orthogonal mother wavelet. The evaluation of prediction performance showed that WA-ANN outperformed ANN model with an increased accuracy by 49.89% based on Root Mean Squared Error values.
{"title":"Application of hybrid artificial neural network algorithm for the prediction of standardized precipitation index","authors":"Kavina S. Dayal, R. Deo, A. Apan","doi":"10.1109/TENCON.2016.7848588","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848588","url":null,"abstract":"The application of wavelet transformation has become a popular area of interest in hydrological modeling as it enables the use of spectral and temporal information contained in input data. Drought modeling is one such area that is still far from complete, considering the stochastic nature of drought characteristics per every drought events. This study therefore aims to predict a drought index, i.e. the Standardized Precipitation Index (SPI), using artificial neural network (ANN) and a hybrid ANN with wavelet analysis (WA-ANN) using four main inputs: precipitation, potential evapotranspiration, Southern Oscillation Index, and Nino 4 index for Brisbane, Australia. For WA-ANN, the four inputs were decomposed into three detail and one approximation levels using Daubechies-4 (db4) orthogonal mother wavelet. The evaluation of prediction performance showed that WA-ANN outperformed ANN model with an increased accuracy by 49.89% based on Root Mean Squared Error values.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848098
J. Sampath, A. Alphones, H. Shimasaki
Efficient operation of a wireless power transfer (WPT) system is a major design challenge in many WPT applications. This paper presents a method for designing a high efficiency WPT system when restrictions are imposed on receiver coil (Rx) size. The optimum pitch of the transmitter (Tx) and Rx coils is evaluated by analyzing the coil quality factor and coupling coefficient. Empirical formulae are proposed to derive generalized design guidelines for a given Rx size. The proposed empirical approach can be directly used for the design of a WPT with miniaturized Rx coils without using time consuming optimization algorithms. The proposed empirical expressions are validated with experimental results.
{"title":"Coil design guidelines for high efficiency of wireless power transfer (WPT)","authors":"J. Sampath, A. Alphones, H. Shimasaki","doi":"10.1109/TENCON.2016.7848098","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848098","url":null,"abstract":"Efficient operation of a wireless power transfer (WPT) system is a major design challenge in many WPT applications. This paper presents a method for designing a high efficiency WPT system when restrictions are imposed on receiver coil (Rx) size. The optimum pitch of the transmitter (Tx) and Rx coils is evaluated by analyzing the coil quality factor and coupling coefficient. Empirical formulae are proposed to derive generalized design guidelines for a given Rx size. The proposed empirical approach can be directly used for the design of a WPT with miniaturized Rx coils without using time consuming optimization algorithms. The proposed empirical expressions are validated with experimental results.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848206
Mingzhou Xie, Jun Xu, Li Xia
Storage has been a performance bottleneck in IO intensive applications for over one decade. To alleviate it, many cost-effective designs of disk subsystems are proposed. Media-based cache (MBC) is one of the recent implementations. This paper addresses the performance model of MBC using analytical approaches and Monte Carlo techniques. In particular, we give a detailed model to capture the characteristics of the general distribution of service times (disk access times) of MBC and we use a modified queuing model of M/G/1/K with multiple vacations to formulate the MBC dynamics. The system throughput and blocking probability under different workload characteristics and system parameters are studied. Essentially, we illustrate how the system parameters affect the MBC performance in different typical scenarios, which may be used as design guidelines for disks.
{"title":"Performance analysis of media-based cache via analytical and simulation model","authors":"Mingzhou Xie, Jun Xu, Li Xia","doi":"10.1109/TENCON.2016.7848206","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848206","url":null,"abstract":"Storage has been a performance bottleneck in IO intensive applications for over one decade. To alleviate it, many cost-effective designs of disk subsystems are proposed. Media-based cache (MBC) is one of the recent implementations. This paper addresses the performance model of MBC using analytical approaches and Monte Carlo techniques. In particular, we give a detailed model to capture the characteristics of the general distribution of service times (disk access times) of MBC and we use a modified queuing model of M/G/1/K with multiple vacations to formulate the MBC dynamics. The system throughput and blocking probability under different workload characteristics and system parameters are studied. Essentially, we illustrate how the system parameters affect the MBC performance in different typical scenarios, which may be used as design guidelines for disks.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115480944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848598
I. Khemapech, Watsawee Sansrimahachai, Manachai Toahchoodee
Engineering structure has been regarded as one of the physical aspects of societal and civil development and evolution. It also impacts life quality and safety of the civilian. Despite of its own weight (dead load) and live load, structural members are also significantly affected by disaster and environment. Proper inspection and detection are thus crucial both during regular and unsafe events. An Enhanced Structural Health Monitoring System Using Stream Processing and Artificial Neural Network Techniques (SPANNeT) has been developed and is described in this paper. SPANNeT applies wireless sensor network, real-time data stream processing and artificial neural network based upon the measured bending strain. Major contributions include an effective, accurate and energy-aware data communication and damage detection of the engineering structure. SPANNeT has been tested and evaluated by means of computer-based simulation, test-bed and on-site levels. According to the measurements, the observed maximum values are 25 to 30 microstrains during normal operation. The given protocol provides at least 90% of data communication reliability. SPANNeT is capable of real-time data report, monitoring and warning efficiently conforming to the predefined thresholds which can be adjusted regarding user's requirements and structural engineering characteristics.
{"title":"A real-time Health Monitoring and warning system for bridge structures","authors":"I. Khemapech, Watsawee Sansrimahachai, Manachai Toahchoodee","doi":"10.1109/TENCON.2016.7848598","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848598","url":null,"abstract":"Engineering structure has been regarded as one of the physical aspects of societal and civil development and evolution. It also impacts life quality and safety of the civilian. Despite of its own weight (dead load) and live load, structural members are also significantly affected by disaster and environment. Proper inspection and detection are thus crucial both during regular and unsafe events. An Enhanced Structural Health Monitoring System Using Stream Processing and Artificial Neural Network Techniques (SPANNeT) has been developed and is described in this paper. SPANNeT applies wireless sensor network, real-time data stream processing and artificial neural network based upon the measured bending strain. Major contributions include an effective, accurate and energy-aware data communication and damage detection of the engineering structure. SPANNeT has been tested and evaluated by means of computer-based simulation, test-bed and on-site levels. According to the measurements, the observed maximum values are 25 to 30 microstrains during normal operation. The given protocol provides at least 90% of data communication reliability. SPANNeT is capable of real-time data report, monitoring and warning efficiently conforming to the predefined thresholds which can be adjusted regarding user's requirements and structural engineering characteristics.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115767737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848228
Lukman Rosyidi, R. F. Sari
This paper presents a modification of the routing protocol for the 802.11 networks to use the energy harvesting information for routing decision in order to prolong the lifetime of the network. Energy harvesting is the activity of nodes in the network to harvest energy from the environment, especially when no sustainable energy supply exists. This activity should be supported by the network protocol to optimally use the energy harvested and to support the continuous operation of nodes in the network. By using the residual energy and the energy harvesting information along with the hop count, the routing algorithm can decide an energy efficient path to deliver message in the network. Simulation using Network Simulator 3 (NS-3) tool has been conducted to investigate and validate the modified routing protocol, with variation of low and high energy harvested condition. The result shows that in low energy harvested condition, this effort can make the network lifetime 29.7% longer, while in high energy harvested condition it can successfully prevent the occurrence of the energy hole problem in the network.
{"title":"Energy harvesting aware protocol for 802.11-based Internet of Things network","authors":"Lukman Rosyidi, R. F. Sari","doi":"10.1109/TENCON.2016.7848228","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848228","url":null,"abstract":"This paper presents a modification of the routing protocol for the 802.11 networks to use the energy harvesting information for routing decision in order to prolong the lifetime of the network. Energy harvesting is the activity of nodes in the network to harvest energy from the environment, especially when no sustainable energy supply exists. This activity should be supported by the network protocol to optimally use the energy harvested and to support the continuous operation of nodes in the network. By using the residual energy and the energy harvesting information along with the hop count, the routing algorithm can decide an energy efficient path to deliver message in the network. Simulation using Network Simulator 3 (NS-3) tool has been conducted to investigate and validate the modified routing protocol, with variation of low and high energy harvested condition. The result shows that in low energy harvested condition, this effort can make the network lifetime 29.7% longer, while in high energy harvested condition it can successfully prevent the occurrence of the energy hole problem in the network.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127326299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848685
Ryoichiro Haruyama, R. Tanaka, Y. Ishida
We propose a simple design method of filtered Smith predictor that belongs to a class of dead-time compensators. Simulation results show that disturbance rejection performs well for unstable and integrative plants with dead-time.
{"title":"Simplified design method of a filtered Smith predictor for unstable and integrative plants with dead-time","authors":"Ryoichiro Haruyama, R. Tanaka, Y. Ishida","doi":"10.1109/TENCON.2016.7848685","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848685","url":null,"abstract":"We propose a simple design method of filtered Smith predictor that belongs to a class of dead-time compensators. Simulation results show that disturbance rejection performs well for unstable and integrative plants with dead-time.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-11-01DOI: 10.1109/TENCON.2016.7848028
M. Kolekar, D. Dash
Recognizing human activity is an important area of research in computer vision application. Manual monitoring of all cameras continuously for longer duration is inefficient making auto-detection of activity important. In this paper shape and optical flow features are fused together and used for human activity recognition. Features extracted are found to be efficient as concluded by ANOVA test. Hidden Markov Model are generated for each activity. System is trained and tested in various indoor and outdoor environment. The method adapted is made shape and angle invariant. Accuracy achieved using least square support vector machine classifier is 80% for all activities. Hidden Markov Model resulted in better accuracy as compared to least square support vector machine classifier with accuracy of 100.00% for walking, 100.00% for hand waving, 90% for bending, 84.61% for running and 90% for side gallop activities. 100% accuracy is achieved in recognizing activity in different angle with respect to camera.
{"title":"Hidden Markov Model based human activity recognition using shape and optical flow based features","authors":"M. Kolekar, D. Dash","doi":"10.1109/TENCON.2016.7848028","DOIUrl":"https://doi.org/10.1109/TENCON.2016.7848028","url":null,"abstract":"Recognizing human activity is an important area of research in computer vision application. Manual monitoring of all cameras continuously for longer duration is inefficient making auto-detection of activity important. In this paper shape and optical flow features are fused together and used for human activity recognition. Features extracted are found to be efficient as concluded by ANOVA test. Hidden Markov Model are generated for each activity. System is trained and tested in various indoor and outdoor environment. The method adapted is made shape and angle invariant. Accuracy achieved using least square support vector machine classifier is 80% for all activities. Hidden Markov Model resulted in better accuracy as compared to least square support vector machine classifier with accuracy of 100.00% for walking, 100.00% for hand waving, 90% for bending, 84.61% for running and 90% for side gallop activities. 100% accuracy is achieved in recognizing activity in different angle with respect to camera.","PeriodicalId":246458,"journal":{"name":"2016 IEEE Region 10 Conference (TENCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123268865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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