2016 8th International Conference on Knowledge and Smart Technology (KST)最新文献_第3页

Memory distortion of depth of a visual stimulus for perception and action 对知觉和行动的视觉刺激的深度的记忆扭曲

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-03-23 DOI: 10.1109/KST.2016.7440511

Kanji Tanaka, Kentaro Yamamoto, Sung-en Chien, Katsumi Watanabe

{"title":"Memory distortion of depth of a visual stimulus for perception and action","authors":"Kanji Tanaka, Kentaro Yamamoto, Sung-en Chien, Katsumi Watanabe","doi":"10.1109/KST.2016.7440511","DOIUrl":"https://doi.org/10.1109/KST.2016.7440511","url":null,"abstract":"It has been known remembered locations of visual stimuli are systematically distorted in a two-dimensional (i.e., retinal) coordinate, which includes the foveal bias, memory averaging, and landmark effect. The present study aimed at examining how the remembered depth position of a visual target would be distorted. Also, we examined whether depth distortion would differ for perceptual and motor-related tasks. In the experiments, a visual target was presented for one second at various distances from the observers by using a 3D projector. The fixation distance was also varied. After the disappearance of the target, observers performed either perceptual judgment (the method of constant to estimate the point of psychological subjective equality) or motor response (by using a 3D mouse) for the remembered target distance. The results showed that the remembered depth of the target was compressed toward the averaged depth of the possible depth range for both perceptual and motor responses. In addition, however, the perceptual responses tended to overestimate the depth when the fixation depth was closer than or the same as the nearest possible depth of the target. No bias was observed when the fixation depth was farther than the nearest possible depth. For the motor responses, there was a general underestimation irrespective of fixation depth. These results suggest that spatial memory of depth for visual stimuli may be qualitatively different between perceptual and motor responses.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127534736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Gender differences in visuomotor sequence learning 视觉运动序列学习的性别差异

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-03-23 DOI: 10.1109/KST.2016.7440507

Natsuki Ueda, Katsumi Watanabe, Kanji Tanaka

引用次数: 1

Effects of synchronous motion and spatial alignment on animacy perception 同步运动和空间对齐对动画感知的影响

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-03-23 DOI: 10.1109/KST.2016.7440491

Kohske Takahashi, Katsumi Watanabe

{"title":"Effects of synchronous motion and spatial alignment on animacy perception","authors":"Kohske Takahashi, Katsumi Watanabe","doi":"10.1109/KST.2016.7440491","DOIUrl":"https://doi.org/10.1109/KST.2016.7440491","url":null,"abstract":"Human visual system extracts or creates various rich information from low-level visual features. Animacy perception, where an obviously non-animate object elicits to us a feeling that the object is animate, is also susceptible to motion trajectory. For example, a simple dot, when moving with the random trajectory based on 1/f fluctuation, provide a vivid sensation of animacy. Recently, we found that perceived animacy from a randomly moving dot was drastically decreased by the presence of other dots that made synchronous motion with the target dot. However, in our previous study, the synchronous motion accompanied the spatial alignment, and hence it is unclear whether the synchronous motion per se or the spatial alignment is responsible for the modulation of animacy perception. The present study investigated the effects of these two factors by manipulating the spatial alignment independently from the motion synchrony. Consequently, we found that the reduction of perceived animacy from both spatially aligned as well as spatially misaligned synchronous motion, wherein the magnitudes of animacy reduction were quantitatively comparable. These results suggested that the synchronous motion is primal factor to reduce the perceived animacy, whereas the effect of spatial alignment was negligible.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125693124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Greater Kuala Lumpur as a smart city: A case study on technology opportunities 作为智慧城市的大吉隆坡:技术机遇的案例研究

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440496

K. Yau, Sian Lun Lau, Hui Na Chua, Mee Hong Ling, Vahab Iranmanesh, Shwu Chen Charis Kwan

引用次数: 26

Classification of acute leukemia using CD markers 利用CD标记物对急性白血病进行分类

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440535

Jakkrich Laosai, K. Chamnongthai

引用次数: 7

3D reconstruction and feature extraction for agricultural produce grading 农产品分级的三维重建与特征提取

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440482

Panitnat Yimyam, A. Clark

{"title":"3D reconstruction and feature extraction for agricultural produce grading","authors":"Panitnat Yimyam, A. Clark","doi":"10.1109/KST.2016.7440482","DOIUrl":"https://doi.org/10.1109/KST.2016.7440482","url":null,"abstract":"This paper examines the grading of agricultural produce from multiple images using colour and texture properties. Some types of agricultural produce need to be inspected from multiple views in order to assess the entire appearance; however, using multiple images may obtain redundant data. Therefore, techniques are presented to reconstruct a 3D object, create new images without duplicated object areas and extract colour and texture features for evaluation. The performance of using multiple view images without duplicated object regions is compared with those of using only top-view images and the original multiple view images. Experiments are performed on apple and guava grading using kNN, NN, SVM and GP for classification. Performance differences from the different image sets are compared using McNemar's test and the Friedman test. It is found that the performance when using multiple view images is superior to that when using single-view images for all experiments. Employing features extracted from multiple view images without object area duplication achieves significantly higher accuracy than employing the original multiple view images for apple grading, but their performances do not differ significantly for guava inspection.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126558273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Japanese Janken recognition by support vector machine based on electromyogram of wrist 基于腕部肌电图的支持向量机识别

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.37936/ECTI-CIT.2017112.105092

Daiki Hiraoka, S. Ito, Momoyo Ito, M. Fukumi

{"title":"Japanese Janken recognition by support vector machine based on electromyogram of wrist","authors":"Daiki Hiraoka, S. Ito, Momoyo Ito, M. Fukumi","doi":"10.37936/ECTI-CIT.2017112.105092","DOIUrl":"https://doi.org/10.37936/ECTI-CIT.2017112.105092","url":null,"abstract":"Recent years, biosignal is receiving attention as a tool of human interface. Above all, electromyogram (EMG) has already applied to many researches. In this study, we propose a method which can discriminate hand motions. We measured an electromyogram of wrist by using 8 dry type sensors. We focused on four motions, such as \"Rock-Scissors-Paper\" and \"Neutral\". \"Neutral\" is a state that does not do anything. In the proposed method, we apply fast Fourier transformation (FFT) to measured EMG data, and then remove hum noise. Next, we combine values of sensors based on a Gaussian function. In this Gaussian function, variance and mean are 0.2 and 0, respectively. After that, we apply normalization by linear transformation to the values. Subsequently, we resize the values into range from -1 to 1. Finally, support vector machine (SVM) conducts learning and discrimination. We conducted experiments in three subjects. Discrimination accuracy of the proposed method for three subjects was 96.9%, 95.3%, 92.2%, respectively. Therefore, we think that the Gaussian function is robust to difference of sensor position because this function combines both adjacent channels. In the previous method, the discrimination accuracy rate was 77.1%. Therefore, the proposed method is better in accuracy than the previous method. In future work, we will conduct an experiment which discriminates Japanese Janken of a subject who is not learned.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"8 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131451175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Human personality toward digital gameplay analytics for edutainment-based instructional design 基于寓教于乐的教学设计的数字游戏玩法分析的人类个性

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440485

Chanachai Siriphunwaraphon, Nattapong Tongtep, Thatsanee Charoenporn

引用次数: 1

Guessing English vocabularies: A game application for children on multiple mobile platforms 猜英语词汇:一款面向多平台儿童的游戏应用

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440497

Kasikrit Damkliang, Saufee Wutthisamai, Patranit Jirasinchanarat

{"title":"Guessing English vocabularies: A game application for children on multiple mobile platforms","authors":"Kasikrit Damkliang, Saufee Wutthisamai, Patranit Jirasinchanarat","doi":"10.1109/KST.2016.7440497","DOIUrl":"https://doi.org/10.1109/KST.2016.7440497","url":null,"abstract":"This paper proposes a game application prototype of an architectural, algorithms, graphical user interface (GUI) design, implementation, and evaluation for guessing English vocabularies for mobile devices, both smartphones and tablets on multiple platforms supported. The application aims to conduct participation amongst the people who use smartphones and tablets to practice English, especially for children. The guessing words application requires at least two players for each gameplay role acting as hinter and guesser. A competition mode of multiple team gameplay is archived by the Bluetooth connection. The application provides mechanisms for both logical and physical game rules using a devices accelerometer. The players can select playing modes which consisting of four modes such as words and pictures in English vocabularies. The players can also create their own customized games including given vocabulary lists from a teacher. Furthermore, the application prototype has been implemented, built, and technical tested. Full implementation of the game is freely distributed on an on-line place already.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124319942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving noise estimation with RAPT pitch voice activity detection under low SNR condition 低信噪比条件下RAPT基音活动检测改进噪声估计

2016 8th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2016-02-01 DOI: 10.1109/KST.2016.7440486

Supasit Chuwatthananurux, Dittaya Wanvarie

{"title":"Improving noise estimation with RAPT pitch voice activity detection under low SNR condition","authors":"Supasit Chuwatthananurux, Dittaya Wanvarie","doi":"10.1109/KST.2016.7440486","DOIUrl":"https://doi.org/10.1109/KST.2016.7440486","url":null,"abstract":"Noise spectrum estimation is a fundamental component of speech enhancement and speech recognition systems. In this paper, we present pitch voice activity detection for noise estimation in the input with the low signal-to-noise ratio (SNR). The noise power spectrum is approximated by the minimum level of power over the period of the mixed signal. Since the noise level may not be stationary, the algorithm should regularly update the estimation. However, when a period contains a speech signal, the spectral power is rather high, and the noise level tends to be overestimated. To avoid this problem, we firstly use voice activity detector to detect the speech presence in the signal period. We propose that the pitch information is efficient in identifying speech activity in the mixed signal even under a low SNR condition. We adopt the Robust Algorithm for Pitch Tracking (RAPT) together with the ratio between the frame power and minimum spectral power to classify voice activity in the input frame. Under low SNR condition, the experimental result showed that the proposed algorithm is effective. The proposed algorithm achieves lower estimation errors when compared to Continuous spectrum minima tracking, Minima Control Recursive Averaging (MCRA) and the estimation based solely on the spectral power ratio.","PeriodicalId":350687,"journal":{"name":"2016 8th International Conference on Knowledge and Smart Technology (KST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128241763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1