Naoto Ageishi
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開始行:
[[HGP>https://adaptive.u-aizu.ac.jp/aslint/index.php?Hand-gesture%20Recognition]]
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CENTER:COLOR(#990055){SIZE(50){Software Design of Hand Gesture Recognition based on Deep Neural Network}}
----
*NeuroSys progress meeting [#zb49f1dd]
-[[NeuroSys>https://adaptive.u-aizu.ac.jp/aslint/index.php?NeuroSys%20Minutes]]
----
*Background [#hdf7ab88]
Hand gestures are actively used in human-computer interaction in applications spanning sign-language recognition, virtual manipulation, daily assistance, gaming, and human-robot interaction [6].
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI), allowing the machine to capture and interpret the user's intent and respond accordingly.
Hand-gesture recognition is an important task in medical
settings such as prosthetic control, which can be performed using
EMG biomedical signals, hand-gesture images, or a combination
of both
%% Self-driving cars have drawn a lot of attention in recent years, and with help of machine learning, have advanced rapidly. Self-driving cars will have to consistently carryout all driving functions without human assistance. Traffic Hand-gesture Recognition requires fast execution speed. %%
*Research Goal [#peb277c4]
The goal of my research is
Software Design of Hand Gesture Recognition based on Deep Neural Network
[[[[Hand Gesture Datasets>https://lttm.dei.unipd.it/downloads/gesture/]]]]
*Project Group Meeting [#v045606d]
-September 15, 2020, 5 PM
*Research Schedule [#q0b5e376]
|Date|Task|
|☑️June 1 - June 31, 2020|Read papers, Make an environment to execute programs|
|☑️July 1 - July 31, 2020|Learn about FPGA acceleration, Make the dataset from the site|
|☑️August 1 - August 15, 2020|Make the Hand-gesture recognition system using DNN|
|August 15 - September 15, 2020|Creating CNN using input from camera|
|September 1 - September 15, 2020|Data augmentation|
|September 15 - October 15, 2020|Design CNN on FPGA|
|October 1 - October 23, 2020|Write Mid-term poster|
|October 1 - October 31, 2020|Evaluate the performance of FPGA operation|
|November 1 - November 31, 2020|Write paper|
CENTER:COLOR(red){''Schedule last Updated on: 9/1/2020 ''}
*NeuroSys Project [#u0357080]
-[[NeuroSys>https://adaptive.u-aizu.ac.jp/aslint/index.php?NeuroSys]]
*Research Progress [#m562b08f]
RPS: &ref(RPS1-0629.pdf); ,&ref(RPS2-0805.pdf); ,[[RP09152020.pdf>https://drive.google.com/file/d/1krvSvQ-FkD9CClmUQD3fSP0mk3SC7byY/view?usp=sharing]],[[RP09302020.pdf>https://drive.google.com/file/d/17rIJ9QnnSz2N5LptZDT3_xrbYGZSFCbT/view?usp=sharing]],[[RP10292020.pdf>https://drive.google.com/file/d/1hCyAd4bQR60iLIjVoZN6RyKrQ_3UL16Q/view?usp=sharing]]
*Midterm Poster [#q0b5e376]
締め切りの前にドラフトを福地まで提出してください。
Submission deadline 10/?/2020
-Draft: &ref(s1250022.pptx);
-Final version: &ref(MidtermPoster-Ageishi-20200831);
*References [#f5a18ef1]
-[[My Shared GoogleFolder>https://drive.google.com/drive/folders/1hU9ukCmvR68vdigrzhtjo60Pt2MGwSef?usp=sharing]]
***Other WWW References [#ldb9eecb]
-[[''Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing Enea''; Ceolini Charlotte Frenkel, Sumit Bam Shrestha,Gemma Taverni,Lyes Khacef,Melika Payvand, Elisa Donati, 2020>https://hal.archives-ouvertes.fr/hal-02617084/]]
-G. Marin, F. Dominio, P. Zanuttigh, [["Hand gesture recognition with Leap Motion and Kinect devices">http://lttm.dei.unipd.it/nuovo/Papers/14_ICIP_leap.pdf]], IEEE International Conference on Image Processing (ICIP), Paris, France, 2014
--[[Hand Gesture Datasets>https://lttm.dei.unipd.it/downloads/gesture/]]
-[[Hand-gesture Recognition]]
終了行:
[[HGP>https://adaptive.u-aizu.ac.jp/aslint/index.php?Hand-gesture%20Recognition]]
----
CENTER:COLOR(#990055){SIZE(50){Software Design of Hand Gesture Recognition based on Deep Neural Network}}
----
*NeuroSys progress meeting [#zb49f1dd]
-[[NeuroSys>https://adaptive.u-aizu.ac.jp/aslint/index.php?NeuroSys%20Minutes]]
----
*Background [#hdf7ab88]
Hand gestures are actively used in human-computer interaction in applications spanning sign-language recognition, virtual manipulation, daily assistance, gaming, and human-robot interaction [6].
Hand gestures are a form of non-verbal communication used by individuals in conjunction with speech to communicate. Nowadays, with the increasing use of technology, hand-gesture recognition is considered to be an important aspect of Human-Machine Interaction (HMI), allowing the machine to capture and interpret the user's intent and respond accordingly.
Hand-gesture recognition is an important task in medical
settings such as prosthetic control, which can be performed using
EMG biomedical signals, hand-gesture images, or a combination
of both
%% Self-driving cars have drawn a lot of attention in recent years, and with help of machine learning, have advanced rapidly. Self-driving cars will have to consistently carryout all driving functions without human assistance. Traffic Hand-gesture Recognition requires fast execution speed. %%
*Research Goal [#peb277c4]
The goal of my research is
Software Design of Hand Gesture Recognition based on Deep Neural Network
[[[[Hand Gesture Datasets>https://lttm.dei.unipd.it/downloads/gesture/]]]]
*Project Group Meeting [#v045606d]
-September 15, 2020, 5 PM
*Research Schedule [#q0b5e376]
|Date|Task|
|☑️June 1 - June 31, 2020|Read papers, Make an environment to execute programs|
|☑️July 1 - July 31, 2020|Learn about FPGA acceleration, Make the dataset from the site|
|☑️August 1 - August 15, 2020|Make the Hand-gesture recognition system using DNN|
|August 15 - September 15, 2020|Creating CNN using input from camera|
|September 1 - September 15, 2020|Data augmentation|
|September 15 - October 15, 2020|Design CNN on FPGA|
|October 1 - October 23, 2020|Write Mid-term poster|
|October 1 - October 31, 2020|Evaluate the performance of FPGA operation|
|November 1 - November 31, 2020|Write paper|
CENTER:COLOR(red){''Schedule last Updated on: 9/1/2020 ''}
*NeuroSys Project [#u0357080]
-[[NeuroSys>https://adaptive.u-aizu.ac.jp/aslint/index.php?NeuroSys]]
*Research Progress [#m562b08f]
RPS: &ref(RPS1-0629.pdf); ,&ref(RPS2-0805.pdf); ,[[RP09152020.pdf>https://drive.google.com/file/d/1krvSvQ-FkD9CClmUQD3fSP0mk3SC7byY/view?usp=sharing]],[[RP09302020.pdf>https://drive.google.com/file/d/17rIJ9QnnSz2N5LptZDT3_xrbYGZSFCbT/view?usp=sharing]],[[RP10292020.pdf>https://drive.google.com/file/d/1hCyAd4bQR60iLIjVoZN6RyKrQ_3UL16Q/view?usp=sharing]]
*Midterm Poster [#q0b5e376]
締め切りの前にドラフトを福地まで提出してください。
Submission deadline 10/?/2020
-Draft: &ref(s1250022.pptx);
-Final version: &ref(MidtermPoster-Ageishi-20200831);
*References [#f5a18ef1]
-[[My Shared GoogleFolder>https://drive.google.com/drive/folders/1hU9ukCmvR68vdigrzhtjo60Pt2MGwSef?usp=sharing]]
***Other WWW References [#ldb9eecb]
-[[''Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing Enea''; Ceolini Charlotte Frenkel, Sumit Bam Shrestha,Gemma Taverni,Lyes Khacef,Melika Payvand, Elisa Donati, 2020>https://hal.archives-ouvertes.fr/hal-02617084/]]
-G. Marin, F. Dominio, P. Zanuttigh, [["Hand gesture recognition with Leap Motion and Kinect devices">http://lttm.dei.unipd.it/nuovo/Papers/14_ICIP_leap.pdf]], IEEE International Conference on Image Processing (ICIP), Paris, France, 2014
--[[Hand Gesture Datasets>https://lttm.dei.unipd.it/downloads/gesture/]]
-[[Hand-gesture Recognition]]
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