Presentations -
-
AI Driven Movement Rate Variability Analysis Around the Time of Calving Events in Cattle International conference
Wai Hnin Eaindrar Mg, Pyke Tin, Aikawa, M., Kobayashi, I., Horii, Y., Honkawa, K. and Thi Thi Zin
International Conference on Genetic and Evolutionary Computing (ICGEC-2023) 2023.10.7
Event date： 2023.10.6 - 2023.10.8
Language：English Presentation type：Oral presentation (general)
-
Temporal-dependent Features Based Inter-Action Transition State Recognition for Eldercare System International conference
Ye Htet, Thi Thi Zin, H. Tamura, K. Kondo, E. Chosa
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) 2023.9.4
Event date： 2023.9.2 - 2023.9.5
Language：English Presentation type：Oral presentation (general)
-
Markov Chain Modelling for Heart Rate Variability Analysis: Bridging Artificial Intelligence and Physiological Data International conference
Thi Thi Zin, Pyke Tin
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) 2023.9.4
Event date： 2023.9.2 - 2023.9.5
Language：English Presentation type：Oral presentation (general)
-
Efficient Segment-Anything Model for Automatic Mask Region Extraction in Livestock Monitoring International conference
Su Myat Noe, Thi Thi Zin, Pyke Tin and I. Kobyashi
2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) 2023.9.4
Event date： 2023.9.2 - 2023.9.5
Language：English Presentation type：Oral presentation (general)
-
Ancient Murals Restoration using Diffusion-based Methods International coauthorship International conference
Khant Khant Win Tint, Mie Mie Tin, Thi Thi Zin, Pyke Tin
The 17th International Conference on Innovative Computing, Information and Control (ICICIC2023) 2023.8.30
Event date： 2023.8.29 - 2023.8.31
Language：English Presentation type：Oral presentation (general)
-
Worker Detection and Tracking System for Data Indicator Analysis to Improve Work Efficiency in a Factory International conference
I. Hidaka, S. Inoue, T. Ishikawa, H. Tamura, Thi Thi Zin
The 17th International Conference on Innovative Computing, Information and Control (ICICIC2023) 2023.8.30
Event date： 2023.8.29 - 2023.8.31
Language：English Presentation type：Oral presentation (general)
-
A Study on Early Detection of Otitis Media in Calves using RGB and Thermographic Cameras International conference
T. Nishiyama, K. Shiiya, M. Aikawa, I. Kobayashi, Thi Thi Zin
The 17th International Conference on Innovative Computing, Information and Control (ICICIC2023) 2023.8.30
Event date： 2023.8.29 - 2023.8.31
Language：English Presentation type：Oral presentation (general)
-
Evaluation of BCS for walking dairy cows using 3D camera International conference
M. Chikunami, Thi Thi Zin, M. Aikawa, I. Kobayashi
The 17th International Conference on Innovative Computing, Information and Control (ICICIC2023) 2023.8.30
Event date： 2023.8.29 - 2023.8.31
Language：English Presentation type：Oral presentation (general)
-
Interdisciplinary Approach to Smart Farming Invited International conference
Thi Thi Zin
The 2nd Conference on Agricultural Innovation and Natural Resources 2023 2023.8.18
Event date： 2023.8.17 - 2023.8.18
Language：English Presentation type：Oral presentation (general)
-
Cattle Lameness Detection System in Modern Dairy Farm Using Cutting-Edge Methods Invited International conference
Thi Thi Zin
The Second Sakura Workshop for Consumer Electronics, Computer, Communication, and Information Technologies (Taichaung) 2023.3.27
Event date： 2023.3.27 - 2023.3.29
Language：English Presentation type：Symposium, workshop panel (public)
Venue：Taichaung Country：Taiwan, Province of China
-
A Study of Real-Time Action Recognition for the Elderly with Stereo Depth Camera International conference
Y Htet and Thi Thi Zin
The Second Sakura Workshop for Consumer Electronics, Computer, Communication, and Information Technologies (Taichaung) 2023.3.27
Event date： 2023.3.27 - 2023.3.29
Language：English Presentation type：Symposium, workshop panel (public)
Venue：Taichaung Country：Taiwan, Province of China
-
A Study on Automatic Black Cattle Tracking with Computer Vision and Deep Learning International conference
Su Myat Noe and Thi Thi Zin
The Second Sakura Workshop for Consumer Electronics, Computer, Communication, and Information Technologies (Taichaung) 2023.3.27
Event date： 2023.3.27 - 2023.3.29
Language：English Presentation type：Symposium, workshop panel (public)
Venue：Taichaung Country：Taiwan, Province of China
-
Assessing Dairy Cow Lameness using Principal Component Analysis on 3D Images Invited International conference
Pyke Tin and Thi Thi Zin
The Second Sakura Workshop for Consumer Electronics, Computer, Communication, and Information Technologies (Taichaung) 2023.3.27
Event date： 2023.3.27 - 2023.3.29
Language：English Presentation type：Symposium, workshop panel (public)
Venue：Taichaung Country：Taiwan, Province of China
-
A Study on the Possibility of Distinguishing between Parkinson's disease and Essential Tremor using Motor Symptoms Observed by an RGB camera
The 35th Annual Conference of Biomedical Fuzzy Systems Association (BMFSA2022) 2022.12.17
Event date： 2022.12.17 - 2022.12.18
Language：Japanese Presentation type：Oral presentation (general)
Movements that appear unconsciously are called involuntary movements. Especially, rhythmic involuntary movements are called tremors. Tremor interferes with daily life and is one of the characteristic symptoms of neurological disorders such as Parkinson's disease (PD) and essential tremor (ET). Symptoms and progression of PD patients are assessed by a neurologist through neurological examination and interview according to the revised Unified Parkinson's Disease Rating Scale (UPDRS) sponsored by the Movement Disorders Society (MDS). PD is associated with other symptoms such as bradykinesia, whereas ET is characterized by tremor alone. However, in the early onset of PD, other symptoms may not be noticeable, and even neurologists may find it difficult to differentiate it from ET. In this paper, to solve this issue of getting lost in this judgment, consider whether it is possible to distinguish between PD and ET two types of neurological disorders from two approaches, time domain and frequency domain which from observed tremor movement by using an RGB camera.
-
Tracking A Group of Black Cows Using SORT based Tracking Algorithm
Cho Cho Aye, Thi Thi Zin, M. Aikawa, I. Kobayashi
バイオメディカル・ファジィ・システム学会 第 35 回年次大会 2022.12.17
Event date： 2022.12.17 - 2022.12.18
Language：English Presentation type：Oral presentation (general)
-
Artificial Intelligence Topping on Spectral Analysis or Lameness Detection in Dairy Cattle
Thi Thi Zin, Ye Htet, San Chain Tun and Pyke Tin
バイオメディカル・ファジィ・システム学会 第 35 回年次大会 2022.12.17
Event date： 2022.12.17 - 2022.12.18
Language：English Presentation type：Oral presentation (general)
-
Cattle Lameness Detection using Advanced Digitization Technologies Invited International conference
Thi Thi Zin, T. Onizuka, San Chain Tun, Su Larb Mon, Pyke Tin, I. Kobayashi
第4回韓国‐日本合同シンポジウム (Miyazaki, Japan) 2022.10.31 宮崎大学CADIC
Event date： 2022.10.31
Language：English Presentation type：Symposium, workshop panel (nominated)
Venue：Miyazaki, Japan Country：Japan
-
Cow Lameness Detection Using Depth Image Analysis International conference
San Chain Tun, Thi Thi Zin, Pyke Tin, I. Kobayashi
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (Osaka, Japan) 2022.10.19 IEEE Consumer Technology Society
Event date： 2022.10.18 - 2022.10.21
Language：English Presentation type：Oral presentation (general)
Venue：Osaka, Japan Country：Japan
In this paper, we introduce to detect cow lameness by using a depth video camera from the top view position. To classify cow lameness, we first extract the sequences of depth value of the cow body region and the maximum value of the back cow area. Then, we will find the average from the maximum height values of the cow backbone area. By using the average values as a feature vector, we classify the cow lameness with the aid of the Support Vector Machine (SVM). To confirm, we perform some experiments by using depth camera images on a real-life dairy farm. The experimental result shows that our proposed method is promising.
-
Video-based Automatic Cattle Identification System International conference
Su Larb Mon, Thi Thi Zin, Pyke Tin, I. Kobayashi
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (Osaka, Japan) 2022.10.19 IEEE Consumer Technology Society
Event date： 2022.10.18 - 2022.10.21
Language：English Presentation type：Oral presentation (general)
Venue：Osaka, Japan Country：Japan
In this paper, we propose a method to identify the cattle by using video sequences. In order to do so, we first collect 360-degree top-view video sequences to form dataset. The proposed system is composed of two parts: cattle detection and cattle identification. In the detection process, we utilize YOLOv5(Y ou Only Look Once) model to detect the cattle region in the lane. In this stage, cattle’s location and region information are extracted and the cropped images of detected cattle regions are saved for the next stage. We then apply Convolutional Neural Network model (VGG16) to extract the features which will be used to identify individual cattle. For the classification, the proposed system used two supervised machine learning methods, Random Forest and SVM (Support Vector Machine). The accuracy of Random Forest is 98.5% and the accuracy of SVM is 99.6%. After comparing the accuracy rate of two methods, SVM get the better accuracy result. The proposed system achieved the accuracy of over 90% for both cattle detection and identification.
-
Cattle Pose Classification System Using DeepLabCut and SVM Model International conference
May Phyu Khin, Thi Thi Zin, Cho Cho Mar, Pyke Tin, Y. Horii
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (Osaka, Japan) 2022.10.19 IEEE Consumer Technology Society
Event date： 2022.10.18 - 2022.10.21
Language：English Presentation type：Oral presentation (general)
Venue：Osaka, Japan Country：Japan
This paper proposes the cattle pose classification system by using video-based tracking result. The proposed system is composed of two processes namely feature extraction and classification. In the feature extraction, we employ DeepLabCut network to obtain location feature points which are to be combined with cattle bounding box region values. For classification process, the SVM (Support Vector Machine) classifier will be used. To confirm the proposed method, we tested some experimental results by using the video sequences taken in some real-life dairy farms and classify six poses such as “standing”, “sitting”, “eating”, “drinking”, “sitting with leg extend” and “tail raised”. We got average 88.75% accuracy for all poses.