• Title/Summary/Keyword: people recognition

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Performance Improvement of a Deep Learning-based Object Recognition using Imitated Red-green Color Blindness of Camouflaged Soldier Images (적록색맹 모사 영상 데이터를 이용한 딥러닝 기반의 위장군인 객체 인식 성능 향상)

  • Choi, Keun Ha
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.2
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    • pp.139-146
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    • 2020
  • The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.

Development of a Collapse-sensing Phone and Collapse Recognition Algorithm (낙상 감지 폰의 개발과 낙상판단 알고리즘)

  • Jang, Duk-Sung
    • IEMEK Journal of Embedded Systems and Applications
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    • v.10 no.1
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    • pp.41-48
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    • 2015
  • To deal with the emergency of the solitary aged people, we have developed a collapse-sensing phone, in which a collapse sensor, a GPS receiving chipset and a CDMA sending chipset are included. The general cellular phone is somewhat expensive communication device using sound and characters, but the collapse-sensing phone is a cheaper and popular version. If the collapse sensor recognizes a certain of collapse of the aged people, CDMA sending chipset will send the location of the phone which is received from satellite by GPS receiving chipset. In this paper, a collapse recognition algorithm which is developed by using much experimental data, will be introduced to explain how to recognize the real collapse from fast sitting or immediate standing after collapse. Once a true collapse is ecognized, the phone-ID and the coordinate will be sent to the server of administrative office via CDMA network. And the position of emergency will be displayed on the GIS with the rescue center.

A Study on Recognition Level of the People on Oriental Medical Services and the Need for its Improvement (한방의료서비스에 대한 인식도 및 개선요구도)

  • Yoo Wang-Keun
    • Journal of Society of Preventive Korean Medicine
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    • v.7 no.2
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    • pp.45-64
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    • 2003
  • This study was conducted to examine the recognition level of the people on oriental medical Services and the need for it's improvement. Data were collected from 1174 residents in Daegu metropolitan city and Gyungbuk province. According to the satisfaction level with each items of oriental medical services, the respondents had positive views on efficacy, kindness, and side-effects. They, however, had negative view on the cost of oriental medical services. In regarding to the priority of improvement of oriental medical system, 'expansion of insurance benefit package' ranked first. Followed by 'safety of herbal medicine(heavy metal/pesticides)', 'improvement of scientific methods and diagnostic technique' etc. For the further development of oriental medical services in the consumer - focused and evidenced-based health care environment, much attention to implement relevant health policy reflecting user's need positively should be made.

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Development of IoT System Based on Context Awareness to Assist the Visually Impaired

  • Song, Mi-Hwa
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.320-328
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    • 2021
  • As the number of visually impaired people steadily increases, interest in independent walking is also increasing. However, there are various inconveniences in the independent walking of the visually impaired at present, reducing the quality of life of the visually impaired. The white cane, which is an existing walking aid for the visually impaired, has difficulty in recognizing upper obstacles and obstacles outside the effective distance. In addition, it is inconvenient to cross the street because the sound signal to help the visually impaired cross the crosswalk is lacking or damaged. These factors make it difficult for the visually impaired to walk independently. Therefore, we propose the design of an embedded system that provides traffic light recognition through object recognition technology, voice guidance using TTS, and upper obstacle recognition through ultrasonic sensors so that blind people can realize safe and high-quality independent walking.

Product Nutrition Information System for Visually Impaired People (시각 장애인을 위한 상품 영양 정보 안내 시스템)

  • Jonguk Jung;Je-Kyung Lee;Hyori Kim;Yoosoo Oh
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.5
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    • pp.233-240
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    • 2023
  • Nutrition information about food is written on the label paper, which is very inconvenient for visually impaired people to recognize. In order to solve the inconvenience of visually impaired people with nutritional information recognition, this paper proposes a product nutrition information guide system for visually impaired people. In the proposed system, user's image data input through UI, and object recognition is carried out through YOLO v5. The proposed system is a system that provides voice guidance on the names and nutrition information of recognized products. This paper constructs a new dataset that augments the 319 classes of canned/late-night snack product image data using rotate matrix techniques, pepper noise, and salt noise techniques. The proposed system compared and analyzed the performance of YOLO v5n, YOLO v5m, and YOLO v5l models through hyperparameter tuning and learned the dataset built with YOLO v5n models. This paper compares and analyzes the performance of the proposed system with that of previous studies.

Real Time Recognition of Finger-Language Using Color Information and Fuzzy Clustering Algorithm

  • Kim, Kwang-Baek;Song, Doo-Heon;Woo, Young-Woon
    • Journal of information and communication convergence engineering
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    • v.8 no.1
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    • pp.19-22
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    • 2010
  • A finger language helping hearing impaired people in communication A sign language helping hearing impaired people in communication is not popular to ordinary healthy people. In this paper, we propose a method for real-time sign language recognition from a vision system using color information and fuzzy clustering system. We use YCbCr color model and canny mask to decide the position of hands and the boundary lines. After extracting regions of two hands by applying 8-directional contour tracking algorithm and morphological information, the system uses FCM in classifying sign language signals. In experiment, the proposed method is proven to be sufficiently efficient.

Analysis on the Differences of Regulation Recognition according to Political Party (지지 정당의 차이에 따른 규제 인식 차이 연구)

  • Choi, Seong-Rak
    • The Journal of the Korea Contents Association
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    • v.16 no.5
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    • pp.148-156
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    • 2016
  • Party is the main factor in modern country. Therefore, there are a lot of articles about the difference of public policies and citizen's recognition according to their supported party. However, there is few research about the regulation recognition according to citizen's supported party. This study focuses on the differences of a regulation recognition according to citizen's supported party. In result, there are a lot of differences of regulation recognition according to citizen's supported party. The people who support Saenuri Party have a positive recognition about a necessity of regulation, a fairness of regulation, a reliability of a regulation. But the people who don't support Saenuri Party have a negative recognition about those. In Korea, government regulations have a lot of relationship with a party and politics.

Recognition of hand gestures with different prior postures using EMG signals (사전 자세에 따른 근전도 기반 손 제스처 인식)

  • Hyun-Tae Choi;Deok-Hwa Kim;Won-Du Chang
    • Journal of Internet of Things and Convergence
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    • v.9 no.6
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    • pp.51-56
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    • 2023
  • Hand gesture recognition is an essential technology for the people who have difficulties using spoken language to communicate. Electromyogram (EMG), which is often utilized for hand gesture recognition, is expected to have difficulties in hand gesture recognition because its people's movements varies depending on prior postures, but the study on this subject is rare. In this study, we conducted tests to confirm if the prior postures affect on the accuracy of gesture recognition. Data were recorded from 20 subjects with different prior postures. We achieved average accuracies of 89.6% and 52.65% when the prior states between the training and test data were unique and different, respectively. The accuracy was increased when both prior states were considered, which confirmed the need to consider a variety of prior states in hand gesture recognition with EMG.

Transformation Based Walking Speed Normalization for Gait Recognition

  • Kovac, Jure;Peer, Peter
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.11
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    • pp.2690-2701
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    • 2013
  • Humans are able to recognize small number of people they know well by the way they walk. This ability represents basic motivation for using human gait as the means for biometric identification. Such biometric can be captured at public places from a distance without subject's collaboration, awareness or even consent. Although current approaches give encouraging results, we are still far from effective use in practical applications. In general, methods set various constraints to circumvent the influence factors like changes of view, walking speed, capture environment, clothing, footwear, object carrying, that have negative impact on recognition results. In this paper we investigate the influence of walking speed variation to different visual based gait recognition approaches and propose normalization based on geometric transformations, which mitigates its influence on recognition results. With the evaluation on MoBo gait dataset we demonstrate the benefits of using such normalization in combination with different types of gait recognition approaches.

Voice Recognition Elevator for Handicapped People (장애인을 위한 음성인식 엘리베이터)

  • Oh, Yong-Jae;Kim, Jeong-Rae;Chung, Ik-Joo
    • Journal of Industrial Technology
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    • v.33 no.A
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    • pp.55-60
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    • 2013
  • In this paper, we proposed an efficient method for implementing a voice recognition elevator. Unlike the existing ones, the proposed system is based on the bluetooth communication and smartphones equipped with the google speech recognition software, which makes it possible that the speech recognition capability can be added to the previously installed elevators. In order to improve the recognition accuracy, instead of using the result of the google recognizer, we built a web server where the user data are accumulated and they are used for recognition error correction.

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