Abhimanyu Kumar

“Gamification” is slowly becoming a powerful and an important strategy for motivating and influencing large groups of people, and is bringing about an intense wave of change in a wide array of sectors. This paper surveys and situates the current uses of gamification within existing research to help explore the ways in which this concept has been and can be used to solve real world business and non-business problems. The core components of gamification are explored and various examples of how… Mehr anzeigen

“Gamification” is slowly becoming a powerful and an important strategy for motivating and influencing large groups of people, and is bringing about an intense wave of change in a wide array of sectors. This paper surveys and situates the current uses of gamification within existing research to help explore the ways in which this concept has been and can be used to solve real world business and non-business problems. The core components of gamification are explored and various examples of how gamification has been used to achieve business goals, promote education, combat world hunger and fight corruption are explained. Similar solutions for the Indian context have also been recommended and future trends of this nascent concept are studied. Weniger anzeigen

In this paper, we present a novel scheme, which is to be implemented on the iPhone, for the recognition of online handwritten basic isolated characters of the Devanagari script. Devanagari is an Indian script that is used for several major languages such as Hindi, Sanskrit, Marathi & Nepali and is spoken as well as written by more than 500 million people. Unconstrained Devanagari writing is more complex than English cursive due to the possible variations in the order number, direction and shape… Mehr anzeigen

In this paper, we present a novel scheme, which is to be implemented on the iPhone, for the recognition of online handwritten basic isolated characters of the Devanagari script. Devanagari is an Indian script that is used for several major languages such as Hindi, Sanskrit, Marathi & Nepali and is spoken as well as written by more than 500 million people. Unconstrained Devanagari writing is more complex than English cursive due to the possible variations in the order number, direction and shape of constituent strokes. The Devanagari alphabet is split into 13 vowels & 36 consonants. A manual study of various characters was done and 42 stroke classes were created. A stroke based recognition approach has been designed where strokes are recognized using Hidden Markov Models (HMM). One HMM is constructed for each stroke class. A second stage of classification has been designed and is used for recognition of characters using stroke classification results along with look up tables. The distinguishing feature of our implementation of online handwriting recognition of isolated Devanagari characters is that it is being designed and implemented for the new iPhone platform and it takes care of various constraints this platform presents us with. Weniger anzeigen