2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT)最新文献

Control of a wheelchair using an adaptive K-Means clustering of head poses 使用头部姿态的自适应k均值聚类控制轮椅

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613819

L. A. Rivera, G. DeSouza, L. D. Franklin

引用次数: 6

Effects of behavior network as a suggestion system to assist BCI users 行为网络作为建议系统对脑机接口用户的辅助作用

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613821

K. Raizer, E. Rohmer, A. Paraense, Ricardo Ribeiro Gudwin

引用次数: 5

A biomimetic similarity index for prosthetic hands 假手的仿生相似指数

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613820

N. M. Kakoty, S. Hazarika

{"title":"A biomimetic similarity index for prosthetic hands","authors":"N. M. Kakoty, S. Hazarika","doi":"10.1109/CIRAT.2013.6613820","DOIUrl":"https://doi.org/10.1109/CIRAT.2013.6613820","url":null,"abstract":"Extreme upper limb prosthesis is a well researched problem. There are a number of research prototypes and a few sophisticated commercially launched variants. For a wider acceptance among amputees, prosthetic hands need to be anthropomorphic i.e. replicate the human hand in form and function. However, it is often difficult to compare and rank prosthetic hands on the extent of their being anthropomorphic. The focus of this paper is to evolve a framework for quantification of anthropomorphism for prosthetic hands. Using Formal Concept analysis, a formal context of anthropomorphism is constructed. Within such a context, an index expressing similarity between the prosthetic and the human hand is derived. Following on the lines of the functional similarity metric for design-by-analogy put forward by McAdams and Wood, a formalism to compare different prosthetic hands to a human hand based on a function-vector for each prosthesis expressed in terms of a set of functional and geometric characteristics is presented. Function-vector is characterized within a formal context of anthropomorphism. The Biomimetic Similarity Index (BSI) so computed reflects extent of anthropomorphism and allows a quantitative comparison of different prosthetic hands. Biomimetic design leads to higher anthropomorphism and should result in a higher BSI. We explore the case of TU Bionic Hand and compare the BSI for five different prosthetic hands.","PeriodicalId":348872,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130753069","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: 7

Handheld device based personal auditory training system to hearing loss 基于手持设备的听力损失个人听觉训练系统

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613818

Yeou-Jiunn Chen, Chia-Jui Chang, J. Wu, Yi-Hui Lin, Hui-Mei Yang

{"title":"Handheld device based personal auditory training system to hearing loss","authors":"Yeou-Jiunn Chen, Chia-Jui Chang, J. Wu, Yi-Hui Lin, Hui-Mei Yang","doi":"10.1109/CIRAT.2013.6613818","DOIUrl":"https://doi.org/10.1109/CIRAT.2013.6613818","url":null,"abstract":"The assistive hearing devices are the only aids to help subjects with hearing loss to use their residual hearing. However, the performance of those devices is closely dependent on auditory training. To develop handheld devices based personal auditory training system with perceptional discrimination analysis and automatic test item generation is very helpful for subjects with hearing loss. Besides, it would ease the burden of speech-language pathologists in developing a personal auditory training. In this study, the mel-frequency cepstrum coefficients and automatic speech recognition are applied to objectively estimate the phonemic confusions. For reducing computational complex, multidimensional scaling is then used to transfer the phonemic confusions into a Euclidean space. Thus, a suitable training material could be automatically generated by simple random process. Finally, the Android based mobile phones are selected as a platform for auditory training. It is convenient for subjects to use the auditory training system. The experimental results show that the average score of mean opinion score is 3.73, which means that the system is very useful.","PeriodicalId":348872,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538346","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

Gesture recognition system for wheelchair control using a depth sensor 手势识别系统，轮椅控制使用深度传感器

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613822

N. Kawarazaki, Alejandro Israel Barragan Diaz

引用次数: 8

Classification of silent speech using adaptive collection 基于自适应集合的无声语音分类

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613816

M. Matsumoto, J. Hori

{"title":"Classification of silent speech using adaptive collection","authors":"M. Matsumoto, J. Hori","doi":"10.1109/CIRAT.2013.6613816","DOIUrl":"https://doi.org/10.1109/CIRAT.2013.6613816","url":null,"abstract":"To provide speech prostheses for individuals with severe communication impairments, we investigated a classification method for brain computer interfaces (BCIs) using silent speech. Event-related potentials (ERPs) obtained when four subjects imagined the vocalization of Japanese vowels, /a/, /i/, /u/, /e/, and /o/ in order and in random order while the subjects remained silent and immobilized were recorded using 111 scalp electrodes and 3 reference electrodes. Regarding detection of the imagined voice, some problems occurred by which the related brain geometries and suitable electrodes for classifications differed between subjects. To overcome these problems, we used an adaptive collection that divided ERP data into small elements, performed evaluation relative to the elements, and selected better elements for classification. In earlier reports of studies using the common spatial patterns (CSPs) filter and support vector machines (SVMs), the classification accuracies (CAs) were 56-72% for the pairwise classification /a/ vs. /u/ in the case of 63 channel EEG measurement. In this study, the CA was improved to 73-92% using the adaptive collection. According to the CA, 19 channel measurements were worse than 111 channel measurements, but 63 channel measurements were slightly worse that 111 channel measurements. Using 63 channel measurements, 73% of CA was achieved for all pairwise combinations of the five vowels. The average of the CAs was 85%. These results show that the proposed method exhibited great potential for use in classification of imagined voice for a speech prosthesis controller.","PeriodicalId":348872,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123342668","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: 14

A novel hand strength assessment method integrated into haptic knob for stroke rehabilitation 一种结合触觉旋钮的手部力量评估方法用于脑卒中康复

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613815

Longjiang Zhou, K. Ang, C. Wang, K. Phua, Cuntai Guan

引用次数: 6

Real-time upper-body detection and orientation estimation via depth cues for assistive technology 实时上半身检测和方向估计通过深度线索辅助技术

2013 IEEE Symposium on Computational Intelligence in Rehabilitation and Assistive Technologies (CIRAT) Pub Date : 2013-04-16 DOI: 10.1109/CIRAT.2013.6613817

Guang Yang, Mamoru Iwabuchi, Kenryu Nakamura

引用次数: 1