s1260084 Masaki Watanabe
をテンプレートにして作成
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開始行:
[[Members-Internal]]
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CENTER:COLOR(#81111F){SIZE(50){''NeuroSys: Design of a Low-cost Prosthetic Hand Based on Raspberry Pi Hardware''}}
*Motivation and Background [#g5e6932d]
Recently, gesture recognition has been used in various fields. What I paid attention to was the work by non-mechanized people.It can be automated by programming the robot arm to do things that only human hands can do.Furthermore, low cost and low power can be expected by controlling with raspberry pi.
*Research Goal [#f86ce7c2]
Have the robot arm make the same movement as the hand sign capture from the camera.In order to be able to perform various movements, this research first recognizes 20 types of movements using only the camera.
*Research Schedule [#sea14837]
|Date|Task|
|6/1 ~ 9/30|Learning DNN, CNN|
|6/1 ~ 9/30|Setting Architecture|
|8/1 ~ 9/30|Move 10 types hand sign robot arm|
|9/1 ~ 11/30|Recognition different 10 types hand sign|
|12/1 ~ 1/31|Move 20 types hand sign robot arm|
|1/1 ~ 2/14|Practice presentation|
*Shared Google Drive Folder [#n5ccf320]
-[[My Shared Google Drive Folder>https://drive.google.com/drive/folders/1nBY-Wrg3E0dSTdLIC2TpUr36L47as17f?usp=sharing]]
*Reference [#mc324dd2]
-[[Ageishi GT 2021>https://adaptive.u-aizu.ac.jp/aslint/index.php?Naoto%20Ageishi]]
-Robot arm(https://www.banggood.com/ja/DIY-5DOF-Robot-Arm-Five-Fingers-Metal-Mechanical-Paw-Left[…]0_zFF0-LX5Il6yXc75zFUGMEiJm1Tt09HAajWQLoAZldLDgaAmiTEALw_wcB)
-USB camera(https://www.amazon.co.jp/dp/B08Q7XSQ5G/ref=sspa_dk_detail_1?psc=1&pd_rd_i=B08Q7XSQ5Gp[…]aWwyJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ==)
-Raspberry pi(https://www.amazon.co.jp/%E3%80%90%E5%9B%BD%E5%86%85%E6%AD%A3%E8%A6%8F%E4%BB%A3%E7%90[…]=&hvlocint=&hvlocphy=1009149&hvtargid=pla-818643320764&psc=1)
-SD card(https://www.amazon.co.jp/Gigastone-Adapter-Smartphone-available-Memory/dp/B07LCMP4B8/[…]cF9hdGYmYWN0aW9uPWNsaWNrUmVkaXJlY3QmZG9Ob3RMb2dDbGljaz10cnVl)
終了行:
[[Members-Internal]]
----
CENTER:COLOR(#81111F){SIZE(50){''NeuroSys: Design of a Low-cost Prosthetic Hand Based on Raspberry Pi Hardware''}}
*Motivation and Background [#g5e6932d]
Recently, gesture recognition has been used in various fields. What I paid attention to was the work by non-mechanized people.It can be automated by programming the robot arm to do things that only human hands can do.Furthermore, low cost and low power can be expected by controlling with raspberry pi.
*Research Goal [#f86ce7c2]
Have the robot arm make the same movement as the hand sign capture from the camera.In order to be able to perform various movements, this research first recognizes 20 types of movements using only the camera.
*Research Schedule [#sea14837]
|Date|Task|
|6/1 ~ 9/30|Learning DNN, CNN|
|6/1 ~ 9/30|Setting Architecture|
|8/1 ~ 9/30|Move 10 types hand sign robot arm|
|9/1 ~ 11/30|Recognition different 10 types hand sign|
|12/1 ~ 1/31|Move 20 types hand sign robot arm|
|1/1 ~ 2/14|Practice presentation|
*Shared Google Drive Folder [#n5ccf320]
-[[My Shared Google Drive Folder>https://drive.google.com/drive/folders/1nBY-Wrg3E0dSTdLIC2TpUr36L47as17f?usp=sharing]]
*Reference [#mc324dd2]
-[[Ageishi GT 2021>https://adaptive.u-aizu.ac.jp/aslint/index.php?Naoto%20Ageishi]]
-Robot arm(https://www.banggood.com/ja/DIY-5DOF-Robot-Arm-Five-Fingers-Metal-Mechanical-Paw-Left[…]0_zFF0-LX5Il6yXc75zFUGMEiJm1Tt09HAajWQLoAZldLDgaAmiTEALw_wcB)
-USB camera(https://www.amazon.co.jp/dp/B08Q7XSQ5G/ref=sspa_dk_detail_1?psc=1&pd_rd_i=B08Q7XSQ5Gp[…]aWwyJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ==)
-Raspberry pi(https://www.amazon.co.jp/%E3%80%90%E5%9B%BD%E5%86%85%E6%AD%A3%E8%A6%8F%E4%BB%A3%E7%90[…]=&hvlocint=&hvlocphy=1009149&hvtargid=pla-818643320764&psc=1)
-SD card(https://www.amazon.co.jp/Gigastone-Adapter-Smartphone-available-Memory/dp/B07LCMP4B8/[…]cF9hdGYmYWN0aW9uPWNsaWNrUmVkaXJlY3QmZG9Ob3RMb2dDbGljaz10cnVl)
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