Design of an Antagonistic Exercise Support System Using a Depth Image Sensor

2016 ◽  
Author(s):  
Toshiya Watanabe ◽  
Kazuki Kamata ◽  
Sheik Hasan ◽  
Susumu Shibusawa ◽  
Masaru Kamada ◽  
...  
Keyword(s):  
Support System ◽  
Image Sensor ◽  
Depth Image

A Supporting System of Choral Singing for Visually Impaired Persons Using Depth Image Sensor

2014 ◽  
Vol 26 (6) ◽  
pp. 735-742
Author(s):  
Noriyuki Kawarazaki ◽  
◽  
Yuhei Kaneishi ◽  
Nobuyuki Saito ◽  
Takashi Asakawa ◽  
...  
Keyword(s):  
Support System ◽  
Visually Impaired ◽  
Maximum Velocity ◽  
Image Sensor ◽  
Depth Image ◽  
Supporting System ◽  
Hand Motion ◽  
Choral Singing ◽  
Interface Devices ◽  
Visually Impaired Persons

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260006/06.jpg"" width=""250"" />Supporting system of choral singing</div> Visually impaired persons may find it difficult to take part in a chorus or other singing group because they cannot see the beat indicated by conductor’s hand movements. This paper provides a chorus support system for visually impaired persons using depth image sensor. This consists of an electric music baton with an acceleration sensor, a radio module, haptic interface devices with vibration motors, a depth image sensor, and a PC. The electric music baton transmits the signal indicating the conductor’s motion to visually impaired players based on sensor acceleration. Since the conductor must give individual instruction to player, we use a depth image sensor to indicate the direction in which the conductor’s baton points. This direction is estimated based on the conductor’s posture. We also attempted to develop a chorus support system without using the electric music baton. The beat is obtained by the maximum velocity position of the conductor’s hand motion using a depth image sensor. The effectiveness of our system is clarified by several experimental results. </span>

scholarly journals Design and Implementation of an Antagonistic Exercise Support System Using a Depth Image Sensor

2017 ◽  
Vol 3 (10) ◽  
pp. 152887
Author(s):  
T. Watanabe ◽  
K. Kamata ◽  
S.A. Hasan ◽  
S. Shibusawa ◽  
M. Kamada ◽  
...  
Keyword(s):  
Support System ◽  
Image Sensor ◽  
Depth Image ◽  
Design And Implementation

Research on Superimposed Terrain Model for Teleoperation Work Efficiency

2016 ◽  
Vol 28 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Takanobu Tanimoto ◽  
◽  
Ryo Fukano ◽  
Kei Shinohara ◽  
Keita Kurashiki ◽  
...  
Keyword(s):  
Ground Surface ◽  
Digital Terrain Model ◽  
Image Sensor ◽  
Depth Image ◽  
Work Efficiency ◽  
Lower Efficiency ◽  
Terrain Model ◽  
Positioning Errors ◽  
Need To Evaluate ◽  
Binocular Stereo

[abstFig src='/00280002/08.jpg' width=""300"" text='Superimposed terrain model in operator's view image' ]In recent years, unmanned construction based on the teleoperation of construction equipment has increasingly been used in disaster sites or mines. However, operations based on teleoperation are based on 2D images, in which the lack of perspective results in considerably lower efficiency when compared with on-board operations. Previous studies employed multi-viewpoint images or binocular stereo, which resulted in problems, such as lower efficiency, caused by the operator's need to evaluate distances by shifting his or her line of sight, or eye fatigue due to binocular stereo. Thus, the present study aims to improve the work efficiency of teleoperation by superimposing a 3D model of the terrain on the on-board operator's view image. The surrounding terrain is measured by a depth image sensor and represented as a digital terrain model, which is generated and updated in real time. The terrain model is transformed into the on-board operator's view, on which an artificial shadow of the bucket tip and an evenly spaced grid projected to the ground surface are superimposed. This allows the operator to visually evaluate the bucket tip position from the artificial shadow and the distance between the excavation point and bucket tip from the terrain grid. An experiment was conducted investigating the positioning of the bucket tip by teleoperation using a miniature excavator and the terrain model superimposed display. The results showed that the standard deviations of the positioning errors measured with the superimposed display were lower by 30% or more than those obtained without the superimposed display, while they were approximately equal to those acquired using binocular stereo. We thus demonstrated the effectiveness of the superimposed display in improving work efficiency in teleoperation.

Investigation on Sound Source Separation using Depth Image Sensor

2016 ◽  
Vol 2016 (0) ◽  
pp. 2A1-10a7
Author(s):  
Takahiro KIGAWA ◽  
Taisuke SAKANO ◽  
Hiroshi TAKEMURA ◽  
Hiroshi MIZOGUCHI
Keyword(s):  
Sound Source ◽  
Source Separation ◽  
Image Sensor ◽  
Depth Image ◽  
Sound Source Separation
Sign in / Sign up

Export Citation Format

Share Document