Vittayakorn, Sirion

Loading...
Thumbnail Image
Preferred name
Vittayakorn, Sirion
Main Affiliation
Email
sirion.vi@kmitl.ac.th

Settings

Now showing 1 - 5 of 5
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Text and object detection on billboards
    (2018-11-13)
    Intasuwan, Tripidok
    ;
    Kaewthong, Jakkraphatara
    ;
    Vittayakorn, Sirion
    To captivate people's attention in a blink of an eye, a billboard as a commercial advertisement must be attractive and informative. When space means money like on the billboard, much important information must be dropped out. Unfortunately, insufficient details and the difficulty of accessing those details might easily kill the customer's attention in a flash as well. In this work, we propose a system that automatically connects a billboard with the product website instantly. More specifically, given the billboard image as an input, the system will lead users immediately to the product website for more details, or contact information. The results demonstrate that our system is significantly outperform the Google image search baseline where the product website is always included in the top 10 websites. Finally, We posit that the system can save the customers' time and complexity to access their product of interest, resulting the increasing of product sale.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Concurrent self-identification applying QR code to record class attendance (QRClass)
    (2019-07-01)
    Nalintipwong, Srinual
    ;
    Tasarika, Thanarat
    ;
    Ruksomya, Chayut
    ;
    Vittayakorn, Sirion
    ;
    Numnonda, Thanisa
    The traditional way of recording student attendance is that an instructor calls student names one by one and records their absence or presence status. It usually consumes much time and sometimes causes errors. Therefore, some instructors may choose not to record student attendance, and this could affect academic learning and outcome. Although many self-identification methods have been explored, the entire processing time is similar to the traditional one. Hence, to solve such the problem, this research proposes a methodology to develop a concurrent class attendance system applying QR code, called QRClass. The results show that the processing time of QRClass is reduced by approximately 93.14% for 49 students compared to the traditional way. Therefore, QRClass is not only require less processing time, but also significantly increase the effectiveness of the class attendance recording method.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Facial expression recognition using local Gabor filters and PCA plus LDA
    (2017-07-01)
    Pumlumchiak, Tanapol
    ;
    Vittayakorn, Sirion
    A simple smile can indicate our approval, happiness or positive thoughts, while a scowl might signal displeasure or anger. Understanding facial expressions and their meanings are crucial not only in our daily life communication, but also in many applications. For example, in marketing, the customers' facial expressions indicate their response towards a product. In artificial intelligence (AI), robots can use human facial expressions as a cue for understanding their emotion in order to respond appropriately. This paper proposes a method for recognizing human facial expressions from images using local Gabor filter, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The system starts by applying the face detection algorithm to detect the face from an image. From the face, the system extracts the Gabor filter responses and maps these responses into the novel feature subspace using the joined framework of PCA and LDA. Note that, in our framework, the principle component removal is also integrated into the framework. Based on the weighted neighbor approach, the system finally classifies human expressions into 4 different classes: anger, surprise, happiness and neutral. The results demonstrate that our approach significantly outperforms the baselines.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    AR Development for Room Design
    (2018-09-06)
    Reuksupasompon, Peeranut
    ;
    Aruncharathorn, Maytichai
    ;
    Vittayakorn, Sirion
    Arranging your furniture correctly can be the difference between having a cramped, gloomy, impractical space and a cozy, elegant and functional room. Although everyone wants their place to be functional and stylish, room design demands time and expertise. While there are extensive systems for room and layout design, most of them require users to drag and drop the 3D furniture models into their 3D room, modify the furniture size/color/texture or change the camera viewpoint around to see their newly designed room from different perspectives by means of the mobile phones or tablets screen. These complications diminish the user satisfaction as well as restrict synchronous collaboration among multiple users. In this work, we propose a system for designing a furniture layout based on the augmented reality technology. Given the room floor plan and multiple QR markers, users are able to physically move their furniture (each QR marker corresponds to a 3D furniture model) around the limited space (inside the specific area defined by the room plan) to design their own functional and stylish room layout. Finally, We demonstrate that our system can not only alleviate the difficulties of existing room design systems, but also amplify the users satisfaction of room design application. Moreover, we posit that it will encourage co-design from simultaneous multiple users.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    WiseMed: Medication reminder for seniors
    (2019-10-01)
    Suwanthara, Juthada
    ;
    Noinongyao, Areena
    ;
    Vittayakorn, Sirion
    Today, many people are very busy with their daily lives, so they may forget to take their medications on schedule, and their medication treatments may not be as effective as they are supposed to be. Several medication reminder applications for smartphones are already available in Thailand, but most of them share a general limitation that users need to enter their medication information and schedule by themselves. This limitation can lead to a new, serious problem: users inputting erroneous medication information or schedules into their smart-phones, especially elderly users. This paper proposes a medication reminder application that overcomes this problem. To eliminate this kind of critical data entry error, we retrieves information on the user's medication and schedule by scanning the QR code on the medication package. This application is not only able to automatically remind users to take their medication on schedule but also provides the user with basic and crucial medication information such as directions for use, precautions, and side effects. Moreover, the application also keeps track of a user's medication-taking history over time, so the physician can modify the medication schedule or the user behavior in his or her follow-up visit in order for the treatment to be as effective as possible. The evaluations demonstrate that QR code mitigate the seniors' errors by 42%. Additionally, our pipeline can identify the user's medication-taking behavior that violate the time-critical scheduled medications with almost perfect correlation with a standard guideline. Finally, all medical professionals confirm that our medication-taking report is crucial and very helpful.