THE INDOOR SPACE AS A DISTINCT ENVIRONMENTAL CATEGORY FOR SPATIAL ANALYSIS

Abstract With rapid developments in techniques related to the internet of things, smart service applications such as voice-command-based speech recognition and smart care applications such as context-aware-based emotion recognition will gain much attention and potentially be a requirement in smart home or office environments. In such intelligence applications, identity recognition of the specific member in indoor spaces will be a crucial issue. In this study, a combined audio-visual identity recognition approach was developed. In this approach, visual information obtained from face detection was incorporated into acoustic Gaussian likelihood calculations for constructing speaker classification trees to significantly enhance the Gaussian mixture model (GMM)-based speaker recognition method. This study considered the privacy of the monitored person and reduced the degree of surveillance. Moreover, the popular Kinect sensor device containing a microphone array was adopted to obtain acoustic voice data from the person. The proposed audio-visual identity recognition approach deploys only two cameras in a specific indoor space for conveniently performing face detection and quickly determining the total number of people in the specific space. Such information pertaining to the number of people in the indoor space obtained using face detection was utilized to effectively regulate the accurate GMM speaker classification tree design. Two face-detection-regulated speaker classification tree schemes are presented for the GMM speaker recognition method in this study—the binary speaker classification tree (GMM-BT) and the non-binary speaker classification tree (GMM-NBT). The proposed GMM-BT and GMM-NBT methods achieve excellent identity recognition rates of 84.28% and 83%, respectively; both values are higher than the rate of the conventional GMM approach (80.5%). Moreover, as the extremely complex calculations of face recognition in general audio-visual speaker recognition tasks are not required, the proposed approach is rapid and efficient with only a slight increment of 0.051 s in the average recognition time.

Download Full-text

PENGARUH KONFIGURASI DAN VISIBILITAS RUANG PADA AKSESIBILITAS, Studi Kasus pada Kawasan XT Square Yogyakarta

Jurnal Arsitektur KOMPOSISI ◽

10.24002/jars.v12i1.1647 ◽

2018 ◽

Vol 12 (1) ◽

pp. 67

Author(s):

Widi Cahya Yudhanta

Keyword(s):

Use Of Space ◽

Indoor Space ◽

The People ◽

Low Visibility ◽

Space Pattern ◽

Outdoor Space ◽

Shape Influence

Abstract: XT Square is a kind of building having cultural commerciality function. The existence of this building is very important in supporting artists who live within it. Layout pattern becomes one of accessibility factors in XT Square area. Configuration and visibility shape influence the use of space pattern and people’s interest pattern in accessing every space in the building. The setting system between indoor space and outdoor space will give an easy effort for the people in living in and recognizing the space that it can be accessed comfortably. Configuration and visibility approachs are used in order to analyse the accessibility level of the space usage in that area. The result of the visibility and configuration analysis shows that there are many spaces having low integration that blocks do not integrated strongly and low visibility influences the appearance of the building in that area. This research suggest to open the visibility barrier and give high visibility that it can be recognized.Keywords: configuration, accessibility, visibility, system setting Abstraksi: XT Square merupakan bangunan dengan fungsi komersial budaya. Keberadaanya menjadi sangat penting guna mendukung pengrajin kesenian dan budaya di Kota Yogyakarta. Pola layout menjadi salah satu faktor aksesibilitas dalam kawasan XT Square. Bentuk konfigurasi dan visibilitas mempengaruhi pola pengunaan ruang dan pola keterarikan orang dalam mengakses setiap ruang dalam kawasan. Sistem setting antar ruang dalam dan ruang luar menjadikan kemudahan penguna dalam menempati ruang dan pengenalan ruang sehingga ruang menjadi nyaman untuk diakses. Pendekatan yang digunakan adalah pendekatan konfigurasi dan visibilitas, guna menganalisis tingkat aksesibilitas pengunaan ruang dalam kawasan. Hasil analisis visibilitas dan konfigurasi menunjukkan bahwa terdapat banyak ruang dengan integrasi lemah sehingga blok tidak saling terintegrasi dengan kuat serta rendahnya visibilitas setiap bangunan dalam kawasan. Penelitian ini memberikan rekomendasi dengan membuka pengahalang visibilitas dan memberi kantung tangkapan visibilitas agar ruang mudah dikenali.Kata kunci: konfigurasi, aksesibilitas, visibilitas, sistem setting

Download Full-text