Zobrazeno 1 - 10
of 109
pro vyhledávání: '"OCHIAI, Yoichi"'
Acoustic levitation is essential in many scientific and engineering applications to realize non-contact manipulation using sound waves. Traditional methods use standing waves from opposing sound sources, which limits manipulation to enclosed spaces.
Externí odkaz:
http://arxiv.org/abs/2412.15539
A convolutional neural network (CNN) is useful for overcoming the trade-off between generation speed and accuracy in the process of synthesizing computer-generated holograms (CGHs). However, methods using a CNN have limited applicability as they cann
Externí odkaz:
http://arxiv.org/abs/2411.04613
We present See-Through Face Display, an eye-contact display system designed to enhance gaze awareness in both human-to-human and human-to-avatar communication. The system addresses the limitations of existing gaze correction methods by combining a tr
Externí odkaz:
http://arxiv.org/abs/2407.05833
User studies are crucial for meeting user needs. In user studies, real experimental scenarios and participants are constructed and recruited. However, emerging and unfamiliar studies face limitations, including safety concerns and iterative efficienc
Externí odkaz:
http://arxiv.org/abs/2406.12296
How would research be like if we still needed to "send" papers typed with a typewriter? Our life and research environment have continually evolved, often accompanied by controversial opinions about new methodologies. In this paper, we embrace this ch
Externí odkaz:
http://arxiv.org/abs/2401.04138
Publikováno v:
International Journal of Human-Computer Studies, Volume 182, 2024, 103168
In this study, we design and develop HaptStarter -- a haptic stimulus start system -- to improve the starting performance of the deaf and hard of hearing (DHH) sprinters. A DHH person has a physical ability nearly equivalent to hearing; however, the
Externí odkaz:
http://arxiv.org/abs/2311.03793
In this paper, we present a novel approach using the Auto GPT system alongside Design Sprint methodology to facilitate board game creation for inexperienced users. We introduce the implementation of Auto GPT for generating diverse board games and the
Externí odkaz:
http://arxiv.org/abs/2307.00348
This study introduces a novel approach to generate dance motions using onomatopoeia as input, with the aim of enhancing creativity and diversity in dance generation. Unlike text and music, onomatopoeia conveys rhythm and meaning through abstract word
Externí odkaz:
http://arxiv.org/abs/2306.03646
In this paper, we propose a novel approach to establish a connection between linguistic objects and classes in Large Language Model Machines (LLMMs) such as GPT3.5 and GPT4, and their counterparts in high level programming languages like Python. Our
Externí odkaz:
http://arxiv.org/abs/2304.04498
Autor:
Kojima, Ryosei, Shitara, Akihisa, Fushimi, Tatsuki, Niwa, Ryogo, Shinoda, Atushi, Iijima, Ryo, Tanaka, Kengo, Sarcar, Sayan, Ochiai, Yoichi
Social interaction begins with the other person's attention, but it is difficult for a d/Deaf or hard-of-hearing (DHH) person to notice the initial conversation cues. Wearable or visual devices have been proposed previously. However, these devices ar
Externí odkaz:
http://arxiv.org/abs/2301.08107