Informatics Publishing Limited

Samata Mutha ¹, Bharati Dixit ²

Affiliations
1 Pune University, IN
2 MIT College of Engineering, Pune, IN

Abstract

Hand gesture is an interface between human and computer. It allows complex operation using hand gesture movement. Aim of this paper is to develop a scheme that recognizes bare hand gesture and perform certain actions depending on finger count. Bare hand gesture is used for recognition instead of using color glove or data glove. We are controlling the winamp player using finger count and angle. For gesture recognition we are performing noise removal, thresholding. Thresholding is occurs on the basis of skin tone selection. So depending on skin color object image is black and other background image is white. After that using circular profiling architecture we are recognizing the gestures. Proposed scheme can effectively reduce the response time and improve the accuracy.

Keywords

Hand Gesture, Preprocessing, Thresholding, Skin Tone.

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Bharati Dixit ¹, A. N. Gaikwad ²

Affiliations
1 Sinhgad College of Engineering, Pune, IN
2 PG Department of E&TC, DCOER, Pune, IN

Abstract

Facial expressions are form of non verbal communication which conveys the emotional state/ mood of a person. Emotions are integral part of human personality. Scientists have established that emotions can play pivotal role in rational intelligence (memory, decision making etc) and social intelligence (Communication, adaption etc). Study of emotions of any person can be interlinked with learning capabilities, behavioral aspect of that person. Efficient monitoring of human emotional states may provide important and useful medical information with diagnostic value which can be very useful for clinical practices.

Existing health care systems do not take in to account the emotional state of the patients while treating them but potential of emotional aspects of health can be incorporated in disease prevention, therapy and rehabilitation.

Useful outcomes of the proposed system add value to clinical practices, health care systems and services.

This paper is basically literature survey paper revealing the work done so far in the area of emotion recognition through facial expression recognition with applicability in healthcare domain.

Keywords

Emotions, Face Recognition, Human Health, Action Units.

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Bharati Dixit ¹, Mangesh Bedekar ¹, Aditi Jahagirdar ¹, Neha Sathe ¹

Affiliations
1 Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, IN

Abstract

In the current era where ample data is generated every second and available to every individual in the form of information, it is easy to gain knowledge from this information but a systematic and methodical approach is required when it comes to skill development. Online and on campus programs help in gaining knowledge but the skills to apply this knowledge needs to be developed gradually through appropriate teaching pedagogy which helps in practicing higher order thinking skills as proposed by Bloom and well known as Bloom’s Taxonomy. In conventional teaching learning approach adopted for online and in-person classroom sessions, the transmission of knowledge takes place most of the time where learner’s involvement may be quite less. So from the perspective of improvement in learner’s involvement in teaching learning process, active learning methods play a significant role and hence practiced widely in recent times. Variety of methods are recommended by scientists and Education experts to improve upon assimilation of knowledge for problem solving. Depending upon the nature of the problem the learner either needs to use one of the lower order thinking skills like apply or higher order thinking skills like analyse, evaluate and create as defined by Bloom. The study presented in this paper discusses case studies of practicing active learning techniques and developing problem solving skills through these techniques. The consolidated feedback analysis for the active learning techniques practiced show that the 96% learners have agreed for clarity of understanding, 92.72% learners have shown confidence in application of concepts and 97.27% participants have shown improved satisfaction in learning. Qualitative testimonies suggests the promising strength of PBL and effectiveness of it in improvement of problem solving skills. The study encourages the effective use of active learning techniques for skill development which is need of time.

Keywords

Higher Order Thinking Skills, Active Learning Techniques, Problem Solving, Skill Development.

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