Telewheelchiar - Augmented Human 2018

Digital Nature Group
Digital Nature GroupDigital Nature Group
Telewheelchair
the Remote Controllable Electric Wheelchair
System combined Human and Machine Intelligence
1
Satoshi Hashizume, Ippei Suzuki, KazukiTakazawa
Ryuichiro Sasaki,Yoichi Ochiai
University ofTsukuba, AISIN Seiki Co.,Ltd.
Introduction
Wheelchairs are essential means of transport.
It is always necessary for carers to be located
near the wheelchair.
2
Introduction
3
Problem
Aging society
Lack of caregivers
Strain of caregiver is increasing.
Introduction
Strain of caregiver is increasing.
We tried to reduce the strain on caregivers
by developing a new electric wheelchair system.
4
Introduction
Method to reduce the strain on caregivers.
Remote control
Manipulation aid with automatic operation
5
Related Work: automatic operation
Applications of virtual reality technology to
wheelchair remote steering systems
Remote control electric wheelchair using VR.
Complex configuration.
6
RT Gundersen, Stephen J Smith, and Ben AAbbott. 1996. Applications of virtual reality technology to wheelchair remote
steering systems. In Proc. of 1st Euro Conf of Disability, Virtual Reality & Assoc. Technology. 47–56.
Related Work: automatic operation
Robotic Wheelchair Easy to Move and
Communicate with Companions
Using a laser range sensor to move with the
companion.
7
Yoshinori Kobayashi, Ryota Suzuki, Yoshihisa Sato, Masaya Arai, Yoshinori Kuno, Akiko Yamazaki, and Keiichi Yamazaki.
2013. Robotic wheelchair easy to move and communicate with companions. In CHI’13 Extended Abstracts on Human Factors
in Computing Systems. ACM, 3079–3082.
Related Work : manipulation method
Electrooculography (EOG)
Electromyograph (EMG)
Voice
Hand gesture
8
Related Work: manipulation method
EOG guidance of a wheelchair using neural networks
Identify Electrooculography using a neural network to operate a
wheelchair.
9
Rafael Barea, Luciano Boquete, Manuel Mazo, Elena López, and Luis Miguel Bergasa. 2000. EOG guidance of a wheelchair
using neural networks. In Pattern Recognition, 2000. Proceedings. 15th International Conference on, Vol. 4. IEEE, 668–671.
Related Work: manipulation method
Electronic control of a wheelchair guided by voice
commands
Using the voice commands to operate the wheelchair.
10
PA Revenga. 1995. Electronic control of a wheelchair guided by voice commands. Control Engineering Practice 3, 5 (1995),
665–674. 19. Masato Nishimori, Takeshi Saitoh, and Ryosuke Konishi. 2007. Voice controlled intelligent wheelchair. In SICE,
2007 annual conference. IEEE, 336–340.
Implementation
11
Implementation : electric wheelchair
Based on TAO LIGHT II-m of AISIN SEIKI CO,.
LTD.
22 inch, Max speed 6 km/h
width 70cm, length 100cm, height 135cm
12
Implementation : electric wheelchair
We recorded the image of the wheelchair
viewpoint with the omnidirectional
camera.
A microcomputer is connected to the
controller.
13
Implementation : electric wheelchair
14
Implementation : base station
15
Driver watched a image of a wheelchair viewpoint using HMD.
Display an arrow corresponding to the direction of the
wheelchair movement in VR.
Implementation : base station
16
Using HDMI splitter to share the image of the omnidirectional camera.
HDMI Extender
HDMI Splitter
(b)Linux
HDMI HDMI
HDMI
UDP
(c) Linux
Environment Recognition
(LSD-SLAM; ROS)
Object Recognition
(YOLO; CUDA+OpenCV)
(a) Windows
VR Controll
(Unity)
Wheelchair Controll
(Processing)
Implementation : remote control
Wireless transfer of omnidirectional image and operation signal.
17
Video
CW-1 (IDX Company, Ltd.)
Full HD, Max 30m
less than 1ms latency
Operation signal
Xbee ZB S2C
(Digi International K.K.)
Max 60m
Implementation : operation assistance
Automatic stop by object identification.
Using YOLO which is the real-time
object detection system.
18
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. 2016. You Only Look Once: Unified, Real-Time Object Detection. In 2016
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 779–788. DOI:
http://dx.doi.org/10.1109/CVPR.2016.91
Implementation : operation assistance
Environmental map creation by SLAM.
19
Jakob Engel, Thomas Schöps, and Daniel Cremers. 2014. LSD-SLAM: Large-Scale Direct Monocular SLAM. Springer
International Publishing, Cham, 834–849. DOI: http://dx.doi.org/10.1007/978-3-319-10605-2_54
Evaluation
Purpose| To investigate the operability of the remote operation.
Design |We set 6 tasks and 4 operation methods.
We measured the operation time for each task.
Recording the position of the wheelchair using motion capture.
Condition|Weight of 52.5kg that same as average body weight of 60 year
old women is loaded on wheelchair.
20
Evaluation
Four operation methods.
21
Evaluation: Four operation methods
Normal mode
Operating Telewheelchair
with the handle.
22
Evaluation: Four operation methods
Standby mode
Operating with the controller
by standing next to wheelchair.
23
Evaluation: Four operation methods
Display mode
Participants watched the
display image of only the
front part of the
omnidirectional image.
Do not look the wheelchair
directly.
24
Evaluation: Four operation methods
HMD mode
Wear HMD and operate
wheelchair while watching
the omnidirectional image.
25
Evaluation
Six tasks of course
Straight
Right turn
Left turn
Rotation
Door
Obstacle
26
Evaluation
Outline of course
Tasks set in the course in
a row.
Based on equipment
standards of nursing
care facilities stipulated
in Japan.
27
START
GOAL
0.8m
1.4m
28
Result: operation time of tasks
29
Straight Right turn Door Left turn Rotation Obstacle
Result: operation path of wheelchair
30
Result
Operations using display mode are more difficult / discomfort than
normal mode.
31
Difficulty of the operation
Feeling of discomfort between
movement and operation.
Discussion
Users operated to turn squarely because they could not look
around wheelchair in display mode.
→ Display mode takes a longer time.
32
Rotation Obstacle
Discussion
Stand by and HMD modes have similar difficulty of control.
We can choose the operation mode depends on the use case.
Case of remote control → use HMD mode.
Case of control near the wheelchair → use stand by mode.
33
Limitation
Latency
Specification of wheelchair and processing delay.
Transmission distance
Specification of wireless device.
Monitoring passenger
Passenger's fear
34
Contributions
1. We conducted experiments on the operability of the
wheelchair using an HMD.
2. For remote operation, an immersive operation method using
an HMD improved the stability more than an operation using a
large display.
3. In realizing the semi-automatic operation of an electric
wheelchair, we explored functions to be developed in future
work.
35
Research Member
36
Satoshi Hashizume1
Ryuichiro Sasaki2
1University of Tsukuba, 2AISIN Seiki Co., Ltd.
Ippei Suzuki1 Kazuki Takazawa1
Yoichi Ochiai1
1 of 36

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Telewheelchiar - Augmented Human 2018

  • 1. Telewheelchair the Remote Controllable Electric Wheelchair System combined Human and Machine Intelligence 1 Satoshi Hashizume, Ippei Suzuki, KazukiTakazawa Ryuichiro Sasaki,Yoichi Ochiai University ofTsukuba, AISIN Seiki Co.,Ltd.
  • 2. Introduction Wheelchairs are essential means of transport. It is always necessary for carers to be located near the wheelchair. 2
  • 3. Introduction 3 Problem Aging society Lack of caregivers Strain of caregiver is increasing.
  • 4. Introduction Strain of caregiver is increasing. We tried to reduce the strain on caregivers by developing a new electric wheelchair system. 4
  • 5. Introduction Method to reduce the strain on caregivers. Remote control Manipulation aid with automatic operation 5
  • 6. Related Work: automatic operation Applications of virtual reality technology to wheelchair remote steering systems Remote control electric wheelchair using VR. Complex configuration. 6 RT Gundersen, Stephen J Smith, and Ben AAbbott. 1996. Applications of virtual reality technology to wheelchair remote steering systems. In Proc. of 1st Euro Conf of Disability, Virtual Reality & Assoc. Technology. 47–56.
  • 7. Related Work: automatic operation Robotic Wheelchair Easy to Move and Communicate with Companions Using a laser range sensor to move with the companion. 7 Yoshinori Kobayashi, Ryota Suzuki, Yoshihisa Sato, Masaya Arai, Yoshinori Kuno, Akiko Yamazaki, and Keiichi Yamazaki. 2013. Robotic wheelchair easy to move and communicate with companions. In CHI’13 Extended Abstracts on Human Factors in Computing Systems. ACM, 3079–3082.
  • 8. Related Work : manipulation method Electrooculography (EOG) Electromyograph (EMG) Voice Hand gesture 8
  • 9. Related Work: manipulation method EOG guidance of a wheelchair using neural networks Identify Electrooculography using a neural network to operate a wheelchair. 9 Rafael Barea, Luciano Boquete, Manuel Mazo, Elena López, and Luis Miguel Bergasa. 2000. EOG guidance of a wheelchair using neural networks. In Pattern Recognition, 2000. Proceedings. 15th International Conference on, Vol. 4. IEEE, 668–671.
  • 10. Related Work: manipulation method Electronic control of a wheelchair guided by voice commands Using the voice commands to operate the wheelchair. 10 PA Revenga. 1995. Electronic control of a wheelchair guided by voice commands. Control Engineering Practice 3, 5 (1995), 665–674. 19. Masato Nishimori, Takeshi Saitoh, and Ryosuke Konishi. 2007. Voice controlled intelligent wheelchair. In SICE, 2007 annual conference. IEEE, 336–340.
  • 12. Implementation : electric wheelchair Based on TAO LIGHT II-m of AISIN SEIKI CO,. LTD. 22 inch, Max speed 6 km/h width 70cm, length 100cm, height 135cm 12
  • 13. Implementation : electric wheelchair We recorded the image of the wheelchair viewpoint with the omnidirectional camera. A microcomputer is connected to the controller. 13
  • 14. Implementation : electric wheelchair 14
  • 15. Implementation : base station 15 Driver watched a image of a wheelchair viewpoint using HMD. Display an arrow corresponding to the direction of the wheelchair movement in VR.
  • 16. Implementation : base station 16 Using HDMI splitter to share the image of the omnidirectional camera. HDMI Extender HDMI Splitter (b)Linux HDMI HDMI HDMI UDP (c) Linux Environment Recognition (LSD-SLAM; ROS) Object Recognition (YOLO; CUDA+OpenCV) (a) Windows VR Controll (Unity) Wheelchair Controll (Processing)
  • 17. Implementation : remote control Wireless transfer of omnidirectional image and operation signal. 17 Video CW-1 (IDX Company, Ltd.) Full HD, Max 30m less than 1ms latency Operation signal Xbee ZB S2C (Digi International K.K.) Max 60m
  • 18. Implementation : operation assistance Automatic stop by object identification. Using YOLO which is the real-time object detection system. 18 J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. 2016. You Only Look Once: Unified, Real-Time Object Detection. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 779–788. DOI: http://dx.doi.org/10.1109/CVPR.2016.91
  • 19. Implementation : operation assistance Environmental map creation by SLAM. 19 Jakob Engel, Thomas Schöps, and Daniel Cremers. 2014. LSD-SLAM: Large-Scale Direct Monocular SLAM. Springer International Publishing, Cham, 834–849. DOI: http://dx.doi.org/10.1007/978-3-319-10605-2_54
  • 20. Evaluation Purpose| To investigate the operability of the remote operation. Design |We set 6 tasks and 4 operation methods. We measured the operation time for each task. Recording the position of the wheelchair using motion capture. Condition|Weight of 52.5kg that same as average body weight of 60 year old women is loaded on wheelchair. 20
  • 22. Evaluation: Four operation methods Normal mode Operating Telewheelchair with the handle. 22
  • 23. Evaluation: Four operation methods Standby mode Operating with the controller by standing next to wheelchair. 23
  • 24. Evaluation: Four operation methods Display mode Participants watched the display image of only the front part of the omnidirectional image. Do not look the wheelchair directly. 24
  • 25. Evaluation: Four operation methods HMD mode Wear HMD and operate wheelchair while watching the omnidirectional image. 25
  • 26. Evaluation Six tasks of course Straight Right turn Left turn Rotation Door Obstacle 26
  • 27. Evaluation Outline of course Tasks set in the course in a row. Based on equipment standards of nursing care facilities stipulated in Japan. 27 START GOAL 0.8m 1.4m
  • 28. 28
  • 29. Result: operation time of tasks 29 Straight Right turn Door Left turn Rotation Obstacle
  • 30. Result: operation path of wheelchair 30
  • 31. Result Operations using display mode are more difficult / discomfort than normal mode. 31 Difficulty of the operation Feeling of discomfort between movement and operation.
  • 32. Discussion Users operated to turn squarely because they could not look around wheelchair in display mode. → Display mode takes a longer time. 32 Rotation Obstacle
  • 33. Discussion Stand by and HMD modes have similar difficulty of control. We can choose the operation mode depends on the use case. Case of remote control → use HMD mode. Case of control near the wheelchair → use stand by mode. 33
  • 34. Limitation Latency Specification of wheelchair and processing delay. Transmission distance Specification of wireless device. Monitoring passenger Passenger's fear 34
  • 35. Contributions 1. We conducted experiments on the operability of the wheelchair using an HMD. 2. For remote operation, an immersive operation method using an HMD improved the stability more than an operation using a large display. 3. In realizing the semi-automatic operation of an electric wheelchair, we explored functions to be developed in future work. 35
  • 36. Research Member 36 Satoshi Hashizume1 Ryuichiro Sasaki2 1University of Tsukuba, 2AISIN Seiki Co., Ltd. Ippei Suzuki1 Kazuki Takazawa1 Yoichi Ochiai1