AUTHORS: Anastasios Ballas, Tossaporn Santad, Kingkarn Sookhanaphibarn, and Worawat Choensawat

ABSTRACT: This paper presents a serious game-based system for dance notation training named LabanDance. The system tracks the full body motion via Microsoft Kinect of the user while performing the movement according to the dancing score. The system provides two training modes which a practice mode and an examination mode. The practice mode is designed for users with less knowledge in the notation where movement of a virtual instructor is displayed according to the score for a user to follow. The second mode is the examination mode where users must perform the body movement according to the displayed Labanotation symbols within the provided time frame. The experiment showed that users without knowledge of Labanotation can enjoy the game while learning the fundamental of the Labanotation.

AUTHORS: Piyarat Silapasuphakornwong, Kingkarn Sookhanaphibarn

ABSTRACT: This paper describes a conceptual framework for smart home that supports elderly people. We describe and compare the principles and general techniques used in automatic human fall detection via a surveillance indoor camera, which are implemented in smart home applications. The comparisons illustrate the benefits and the weak points of each technique. In addition, the challenges and trends are discussed for improving the effective fall detection applications, which is a part in elderly smart care systems in near future.

AUTHORS: Worawat Choensawat, Minako Nakamura and Kozaburo Hachimura

ABSTRACT: This paper presents a computer-aided tool for automatically generating Labanotation scores from motion capture data named GenLaban. GenLaban can be implemented with a low-cost equipment but an efficient method that allows users converting body motions to scores. The key components of GenLaban are the analysis of body motions, the quantization of body postures and the determination of body parts carrying the body weight. All the processes are under supervision of a Labanotation expert to ensure the notation meaning correctly as the use for the dance composition. The experiments showed that for dancers,

AUTHORS: Kingkarn Sookhanaphibarn and Ekachai Kanyanucharat

ABSTRACT: This paper presents the use of wireless usage data as a research tool for analyzing the routine structure of people. The patterns of wireless usage can infer the routine of student life in campus. In our experiments, we discover the student routine structure from the volume and time of the wireless usage. Without following an individual trace for any particular person, we use the volume and time of the whole accesses for particular time and location in a university campus. The analysis is based on the large wireless LANs, one-year log data of the city campus of Bangkok University (August 2011 - July 2012), and the experiment is focused on the wireless

AUTHORS: Jirawat Chomputawat, Worawat Choensawat and Don Isarakorn

ABSTRACT: In Western dance communities, Labanotation is one of the most well known dance notations. Labanotation uses a symbolic description for describing the human body movement. This paper presents a tool for generating Labanotation score from motion capture data. A graphical user interface (GUI) for semiautomatically converting motion capture data to Labanotation scores is designed to reduce an ambiguous of key-frames selection and symbol definition. The GUI allows the user easily to define some of the symbols definition according to the dance motion. In addition, user can make

AUTHORS: Payon Krainuyachan, Worawat Choensawat, Don Isarakorn

ABSTRACT: Nowadays, distant-learning systems provide a wide range of learning techniques with flexibility that provide students with increased opportunities, convenience, and personalization. Students can choose their own studying style whether learning at home or the university. Students can learn at home without the physical presence of a teacher. Recently, Thailand has experienced the worst flooding in over 50 years. At that time, some students and teachers had difficulty in commuting. For that reason, Bangkok University adopted a “BU WebEx” system which designed for helping teachers and students for distant learning. So far, there is little research

AUTHORS: Kingkarn Sookhanaphibarn and Utaiwan Chatuporn

ABSTRACT: Since the early 20th century, museums and art galleries have been responding to a changing, increasingly diverse society, wherein a broader public is interested in culture and/ or arts. They are adjusting their products or adopting the existing technology to the needs of this changing society in order to serve a larger part of the population and gain revenues. With a burst of very popular social media, several museums have utilized the social media such as Facebook, Blog, Podcast, MySpace, and Flickr to communicate with their visitors or interesting group of people. Many visitors will learn new things and gain new experience for a single visit

AUTHORS: Worawat Choensawat, Kingkarn Sookhanaphibarn, Chommanad Kijkhun and Kozaburo Hachimura

ABSTRACT: This paper investigates the desirability of using a teaching and learning tool for Thai dance in the context of higher education. Unlike the Western dances where dance notation have been widely used for recording the dance body movement, students in Thai dance classes have to memorize a series of body movements by observation from their teachers. In Thai dance communities, dance notation is very new, and few of professional people in Thai dance understand and use it to record the Thai dance body movement. In this paper, we demonstrate the adaption of a notation system to