Dr Kalyani Wagh | Savitribai Phule Pune University (original) (raw)
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Papers by Dr Kalyani Wagh
Solid State Technology, May 30, 2020
ECS transactions, Apr 24, 2022
Biomedical Signal Processing and Control
Indian Journal of Computer Science and Engineering, 2022
Currently researchers have shown immeasurable awareness in Brain Computer Interface (BCI) systems... more Currently researchers have shown immeasurable awareness in Brain Computer Interface (BCI) systems, which enable any user to exchange intelligence and knowledge with surrounding and control instruments by using brain signals; concept is identified as Affective Computing. In this work we are using the SEED database, which is publically available to classify three emotions Positive, Negative and Neutral. Five electrode pairs from various brain regions like Prefrontal, Frontal, Temporal, Parietal and Occipital are selected for this work based on previous research. Diverse time domain and time frequency domain features are extracted from EEG signals. Wavelet Transform (WT) is used to extract a variety of time frequency domain features. Daubechies wavelet function (db6) with 6 levels of decomposition is used to split EEG signals into various frequency bands (δ, θ, α, β and γ). SVM and k-NN algorithms are used as classifiers to estimate classification performance. Hypothetical results illustrate an average classification accuracy of 62.4% for classifying three emotions. Gamma and Beta, the higher frequency bands perform well in emotion recognition.
Color vision lack is the powerlessness to separate between the hues. It influences around 1 out o... more Color vision lack is the powerlessness to separate between the hues. It influences around 1 out of 12 men and 1 of every 200 ladies on the planet. In India around 7.5% individuals are influenced by color vision in adequacy. Deficiency of color keenness makes numerous issues for the partially blind individuals, from everyday activities to training. Color vision insufficiency, transcendently caused by inherited reasons, while, in some uncommon cases, is accepted to be gained by neurological wounds. A color vision lacking will pass up a major opportunity certain basic data show in the picture or video. However, with the guide of Image handling, numerous strategies have been produced that can alter the picture and subsequently making it appropriate for review by the individual experiencing CVD. This paper investigates a portion of the past research in this field and gives the best strategy for alteration of Images for the individuals who are experiencing Dichromacy. This paper incorpora...
Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless s... more Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless sensor nodes to implement real-time wearable health monitoring of patients. These sensor nodes can be worn externally or implanted inside the body to monitor multiple bio-parameters (such as blood oxygen saturation, blood pressure and heart activity) of multiple patients at a central location in the hospital. It is a radio frequency based wireless networking technology. Here patients’ health status can be monitored anytime and anywhere without restricting his/her mobility. Thus patient can live his/her normal daily life activities. This paper presents architecture of a wireless health monitoring system. The system consists of multiple sensor nodes which observe various body vital parameters and heart activities. Primary motivation of Body Area Network is to provide steady, timely, comfortable and proper monitoring of physical and biomedical parameters of patient continuously.
Digital Image Processing, 2018
Color vision lack is the powerlessness to separate between the hues. It influences around 1 out o... more Color vision lack is the powerlessness to separate between the hues. It influences around 1 out of 12 men and 1 of every 200 ladies on the planet. In India around 7.5% individuals are influenced by color vision in adequacy. Deficiency of color keenness makes numerous issues for the partially blind individuals, from everyday activities to training. Color vision insufficiency, transcendently caused by inherited reasons, while, in some uncommon cases, is accepted to be gained by neurological wounds. A color vision lacking will pass up a major opportunity certain basic data show in the picture or video. However, with the guide of Image handling, numerous strategies have been produced that can alter the picture and subsequently making it appropriate for review by the individual experiencing CVD. This paper investigates a portion of the past research in this field and gives the best strategy for alteration of Images for the individuals who are experiencing Dichromacy. This paper incorpora...
2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT)
Making machine more emphatic to the user is the gorgeousness of emotive computing. To look inside... more Making machine more emphatic to the user is the gorgeousness of emotive computing. To look inside the users head and operate according to the observed mental state is the ability of emotion identification machines. Now a day’s lot of research is going on in e-healthcare systems. By means of bio-sensors we can capture brain signals, which are used to discover human emotional and mental state. As emotions are playing very important role in making decisions and other mental tasks. Such e-healthcare systems are really required to improve overall human’s life. As researchers are showing lots of interest in establishing emotional interaction between human and machine (HCI) and for this recognition of emotional state is basic requirement.In this paper, various human emotions and EEG signal patterns of human brain are studied. Here we present analysis on neurophysiologic research which can be performed by various researchers. The EEG signals are helpful to analyze various human emotions. Emotion is important indicator of mental instability. The objective of this paper is to find out how these emotions are helpful to solve emotional disorders like depression, anxiety and emotional instability.
Lecture Notes in Networks and Systems
Ijca Proceedings on National Conference on Advancement in Electronics and Telecommunication Engineering, May 12, 2012
Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless s... more Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless sensor nodes to implement real-time wearable health monitoring of patients. These sensor nodes can be worn externally or implanted inside the body to monitor multiple bio-parameters (such as blood oxygen saturation, blood pressure and heart activity) of multiple patients at a central location in the hospital. It is a radio frequency based wireless networking technology. Here patients' health status can be monitored anytime and anywhere without restricting his/her mobility. Thus patient can live his/her normal daily life activities. This paper presents architecture of a wireless health monitoring system. The system consists of multiple sensor nodes which observe various body vital parameters and heart activities. Primary motivation of Body Area Network is to provide steady, timely, comfortable and proper monitoring of physical and biomedical parameters of patient continuously.
Solid State Technology, May 30, 2020
ECS transactions, Apr 24, 2022
Biomedical Signal Processing and Control
Indian Journal of Computer Science and Engineering, 2022
Currently researchers have shown immeasurable awareness in Brain Computer Interface (BCI) systems... more Currently researchers have shown immeasurable awareness in Brain Computer Interface (BCI) systems, which enable any user to exchange intelligence and knowledge with surrounding and control instruments by using brain signals; concept is identified as Affective Computing. In this work we are using the SEED database, which is publically available to classify three emotions Positive, Negative and Neutral. Five electrode pairs from various brain regions like Prefrontal, Frontal, Temporal, Parietal and Occipital are selected for this work based on previous research. Diverse time domain and time frequency domain features are extracted from EEG signals. Wavelet Transform (WT) is used to extract a variety of time frequency domain features. Daubechies wavelet function (db6) with 6 levels of decomposition is used to split EEG signals into various frequency bands (δ, θ, α, β and γ). SVM and k-NN algorithms are used as classifiers to estimate classification performance. Hypothetical results illustrate an average classification accuracy of 62.4% for classifying three emotions. Gamma and Beta, the higher frequency bands perform well in emotion recognition.
Color vision lack is the powerlessness to separate between the hues. It influences around 1 out o... more Color vision lack is the powerlessness to separate between the hues. It influences around 1 out of 12 men and 1 of every 200 ladies on the planet. In India around 7.5% individuals are influenced by color vision in adequacy. Deficiency of color keenness makes numerous issues for the partially blind individuals, from everyday activities to training. Color vision insufficiency, transcendently caused by inherited reasons, while, in some uncommon cases, is accepted to be gained by neurological wounds. A color vision lacking will pass up a major opportunity certain basic data show in the picture or video. However, with the guide of Image handling, numerous strategies have been produced that can alter the picture and subsequently making it appropriate for review by the individual experiencing CVD. This paper investigates a portion of the past research in this field and gives the best strategy for alteration of Images for the individuals who are experiencing Dichromacy. This paper incorpora...
Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless s... more Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless sensor nodes to implement real-time wearable health monitoring of patients. These sensor nodes can be worn externally or implanted inside the body to monitor multiple bio-parameters (such as blood oxygen saturation, blood pressure and heart activity) of multiple patients at a central location in the hospital. It is a radio frequency based wireless networking technology. Here patients’ health status can be monitored anytime and anywhere without restricting his/her mobility. Thus patient can live his/her normal daily life activities. This paper presents architecture of a wireless health monitoring system. The system consists of multiple sensor nodes which observe various body vital parameters and heart activities. Primary motivation of Body Area Network is to provide steady, timely, comfortable and proper monitoring of physical and biomedical parameters of patient continuously.
Digital Image Processing, 2018
Color vision lack is the powerlessness to separate between the hues. It influences around 1 out o... more Color vision lack is the powerlessness to separate between the hues. It influences around 1 out of 12 men and 1 of every 200 ladies on the planet. In India around 7.5% individuals are influenced by color vision in adequacy. Deficiency of color keenness makes numerous issues for the partially blind individuals, from everyday activities to training. Color vision insufficiency, transcendently caused by inherited reasons, while, in some uncommon cases, is accepted to be gained by neurological wounds. A color vision lacking will pass up a major opportunity certain basic data show in the picture or video. However, with the guide of Image handling, numerous strategies have been produced that can alter the picture and subsequently making it appropriate for review by the individual experiencing CVD. This paper investigates a portion of the past research in this field and gives the best strategy for alteration of Images for the individuals who are experiencing Dichromacy. This paper incorpora...
2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT)
Making machine more emphatic to the user is the gorgeousness of emotive computing. To look inside... more Making machine more emphatic to the user is the gorgeousness of emotive computing. To look inside the users head and operate according to the observed mental state is the ability of emotion identification machines. Now a day’s lot of research is going on in e-healthcare systems. By means of bio-sensors we can capture brain signals, which are used to discover human emotional and mental state. As emotions are playing very important role in making decisions and other mental tasks. Such e-healthcare systems are really required to improve overall human’s life. As researchers are showing lots of interest in establishing emotional interaction between human and machine (HCI) and for this recognition of emotional state is basic requirement.In this paper, various human emotions and EEG signal patterns of human brain are studied. Here we present analysis on neurophysiologic research which can be performed by various researchers. The EEG signals are helpful to analyze various human emotions. Emotion is important indicator of mental instability. The objective of this paper is to find out how these emotions are helpful to solve emotional disorders like depression, anxiety and emotional instability.
Lecture Notes in Networks and Systems
Ijca Proceedings on National Conference on Advancement in Electronics and Telecommunication Engineering, May 12, 2012
Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless s... more Wireless Body Area Sensor Networks (WBASN) is an forthcoming technology which utilizes wireless sensor nodes to implement real-time wearable health monitoring of patients. These sensor nodes can be worn externally or implanted inside the body to monitor multiple bio-parameters (such as blood oxygen saturation, blood pressure and heart activity) of multiple patients at a central location in the hospital. It is a radio frequency based wireless networking technology. Here patients' health status can be monitored anytime and anywhere without restricting his/her mobility. Thus patient can live his/her normal daily life activities. This paper presents architecture of a wireless health monitoring system. The system consists of multiple sensor nodes which observe various body vital parameters and heart activities. Primary motivation of Body Area Network is to provide steady, timely, comfortable and proper monitoring of physical and biomedical parameters of patient continuously.