“Mimebot: spherical robot visually imitating a rolling sphere” published in
International Journal of Pervasive Computing and Communications has been selected by the
editorial team as Highly Commended in
2018 Emerald Literati Awards.
Dance Practice System that Shows What You Would Look Like if You Could Master the Dance
Shuhei Tsuchida, Hideaki Okamoto, Yuma Suzuki, Rintaro
Kanada, Takayuki Hori, Tsutomu Terada, Masahiko Tsukamoto
This study proposes a dance practice system allowing users to learn dancing by watching
videos in which they have mastered the movements of a professional dancer. Video
self-modeling, which encourages learners to improve their behavior by watching videos of
exemplary behavior by themselves, effectively teaches movement skills. However, creating an
ideal dance movement video is time-consuming and tedious for learners. To solve this
problem, we utilize a video generation technique based on deepfake to automatically generate
a video of the learners dancing the same movement as the dancer in the reference video.
This study developed a system to provide informative presentations on learning dance
The system was evaluated to determine whether it can be applied to learning dance steps and
whether the level of difficulty affects separated learning.
This study proposes an online dance lesson support system that enables instructors to
remotely but effectively teach multiple learners. We initially focus on the framework of
online dance lessons and subsequently propose a lesson style that applies to flipped
classrooms. We aim to provide a new lesson style for on-demand lessons and real-time lessons
using deep learning techniques.
AIST Dance Video Database: Multi-genre, Multi-dancer, and Multi-camera Database for Dance
Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki and
AIST Dance Video Database is the first large-scale database containing original street
dance videos with copyright-cleared music. It accelerates research of dance information
processing such as dance-motion classification
and dancer identification.
Mimebot: Sphere-shaped Mobile Robot Imitating Rotational Movement
Shuhei Tsuchida, Tatsuya Takemori, Tsutomu Terada and
We propose a mobile robot that can give the audience the optical illusion of the unique
movements of a sphere by mounting a spherical light-emitting diode (LED) display on a
high-agility wheeled robot.