Review of Swarasa Kalpana of Single Drug by Sharangadhara Samhita wsr to Phytochemical Analysis

Sharangadhara Samhita is most important Samhita on Bhaishajya Kalpana (Ayurvedic pharmacy) and considered in Laghutrayee. It consists of three Khand (Division)- Poorva Khand, Madhyam Khand, Uttar Khand. Ayurveda offers personalised treatment according to each patient’s unique Doshavastha. Acharya Charaka has described Chikitsa Chatushpada which includes Bhishak (Physician), Upasthata (Medical Attendant), Rogi (Patient) and Dravya (medicine). The selection of Dravya (medicine) is important step in management of disease. Acharya Charaka has mentioned qualities of Dravya like 1) Bahuta 2) Yogyatam 3) Aanekvidha kalpana 4) Sampat. We use whole drug which contain many chemicals which are separated by Agni (Digestive system). These chemicals are absorbed and move in the body through Rasavaha Strotasa.  They interact with each other and modify gene expression at cellular level. Proper Kalpana (formulations) facilitates better chemical separation, absorption and interaction. Thus, overall efficacy of the drug. Phytochemical analysis includes alkaloids, flavonoids, glycosides, phenols, saponins, sterols, tannins, anthraquinone etc. These are important phytochemicals and termed as active principles responsible for action of drug. Different Bhaishajya Kalpana are used to extract active principles of Dravya with the help of medium like water, oil, alcohol, Ghrita. Panchavidha kashaya Kalpana includes Swarasa (liquid), Kalka (paste), Kwatha (decoction), Hima (cold infusion) and Phanta (hot infusion) and are fundamental Ayurvedic Bhaishajya Kalpana. Churna, Vati, Avaleha, Sneha & Sandhan Kalpana are modified forms of Panchavidha Kashaya Kalpana. Hence review of Swarasa Kalpana of single drug by Sharangadhara Samhita wsr to phytochemical analysis is taken

Generic personality and emotion simulation for conversational agents

This paper describes a generic model for personality, mood and emotion simulation for conversational virtual humans. We present a generic model for updating the param-eters related to emotional behaviour, as well as a linear implementation of the generic update mechanisms. We explore how existing theories for appraisal can be integrated into the framework. Then we describe a prototype system that uses the described mod-1 els in combination with a dialogue system and a talking head with synchronised speech and facial expressions

Synthetic faces: Analysis and applications

ABSTRACT: Facial animation has been a topic of intensive research for more than three decades. Still, designing realistic facial animations remains to be a challenging task. Several models and tools have been developed so far to automate the design of faces and facial anima-tions synchronized with speech, emotions, and gestures. In this arti-cle, we take a brief overview of the existing parameterized facial animation systems. We then turn our attention to facial expression analysis, which we believe is the key to improving realism in animated faces. We report the results of our research regarding the analysis of the facial motion capture data. We use an optical tracking system that extracts the 3D positions of markers attached at specific feature point locations. We capture the movements of these face markers for a talking person. We then form a vector space representation by using the principal component analysis of this data. We call this space “expression and viseme space. ” As a result, we propose a new parameter space for sculpting facial expressions for synthetic faces. Such a representation not only offers insight into improving realism of animated faces, but also gives a new way of generating convincing speech animation and blending between several expressions. Ex-pressive facial animation finds a variety of applications ranging from virtual environments to entertainment and games. With the advances in Internet technology, the development of online sales assistants, Web navigation aides and Web-based interactive tutors is promising than ever before. We overview the recent advances in the field of facial animation on the Web, with a detailed look at the requirements for Web-based facial animation systems and various applications

Emotional communication with virtual humans

In this paper, we present our approach to modelling perceptive 3D virtual characters with emotion and personality. The characters are powered by a dialogue system that consists of a large set of basic interactions between the user and the computer. These interactions are encoded in finite state machines. The system is integrated with an expression recognition system, that tracks a user’s face in real-time and obtains expression data. Also, the system includes a personality and emotion simulator, so that the character responds naturally to both the speech and the facial expressions of the user. The virtual character is represented by a 3D face that performs the speech and facial animation in real-time, together with the appropriate facial expressions.

Personalized Face and Speech Communication over the Internet

We present our system for personalized face and speech communication over the Internet. The overall system consists of three parts: The cloning of real human faces to use as the representative avatars, the Networked Virtual Environment System performing the basic tasks of network and device management, and the speech system, which includes a text-tospeech engine and a real-time phoneme extraction engine from natural speech. The combination of these three elements provides a system to allow real humans, represented by their virtual counterparts, to communicate with each other even when they are geographically remote. In addition to this, all elements present use MPEG-4 as a common communication and animation standard and were designed and tested on the Windows Operating System (OS). The paper presents the main aim of the work, the methodology and the resulting communication system

LIFEPLUS: Revival of life in ancient Pompeii

e-mail: [george.papagiannakis | tom.molet | nadia.thalmann | sumedha.kshirsagar