International Conference on Physiological Computing Systems最新文献_第10页

Making Sense: Experiences with Multi-Sensor Fusion in Industrial Assistance Systems 制造意义:工业辅助系统中多传感器融合的经验

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0007227600640074

Benedikt Gollan, Michael Haslgrübler, A. Ferscha, Josef Heftberger

引用次数: 8

Deep Learning in EMG-based Gesture Recognition 基于肌电图的手势识别中的深度学习

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0006960201070114

Panagiotis Tsinganos, Bruno Cornelis, J. Cornelis, B. Jansen, A. Skodras

引用次数: 42

Flexible Pressure Mapping Platform for Mobility Monitoring Applications 移动监测应用的柔性压力测绘平台

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0004719500330039

S. Cruz, Daniel Dias, J. Viana, L. A. Rocha

{"title":"Flexible Pressure Mapping Platform for Mobility Monitoring Applications","authors":"S. Cruz, Daniel Dias, J. Viana, L. A. Rocha","doi":"10.5220/0004719500330039","DOIUrl":"https://doi.org/10.5220/0004719500330039","url":null,"abstract":"The goal of the work presented here is the development, integration and testing of an innovative technological approach to be the basis for a new product and service for markets associated with the “Health” vector. Our research focuses on a Physiological computing approach, where a polymeric flexible detection system, working as the sensing element is used as an input channel, and a computing system is responsible for the physiological signals synthesis. The proposed solution provides a simpler, lower cost and larger scale manufacturing production of polymer based sensors, along with an electronic interface and the software design. The sensing platform consists in a flexible PCB (Printed Circuit Boards) manufactured using conventional technology (defining the electrical connections and the capacitors dimensions) together with two flexible polymeric membranes (TPU) printed with conductive ink (Plexcore®) for definition of the electrodes. A Capacitance to Digital Converter (CDC) is used to measure the capacitance of the sensors, and a graphical interface in MATLAB allows real-time visualization of data. Current results performed on the pressure sensors indicate the feasibility of the approach.","PeriodicalId":326453,"journal":{"name":"International Conference on Physiological Computing Systems","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123069451","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

How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research 野性有多狂野:生理计算研究中生态有效性的经验教训和建议

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0006962901230130

Élise Labonté-LeMoyne, F. Courtemanche, M. Fredette, Pierre-Majorique Léger

引用次数: 7

Extracting Emotions and Communication Styles from Vocal Signals 从声音信号中提取情感和交流风格

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0004699301830195

L. Sbattella, Luca Colombo, Carlo Rinaldi, Roberto Tedesco, M. Matteucci, Alessandro Trivilini

{"title":"Extracting Emotions and Communication Styles from Vocal Signals","authors":"L. Sbattella, Luca Colombo, Carlo Rinaldi, Roberto Tedesco, M. Matteucci, Alessandro Trivilini","doi":"10.5220/0004699301830195","DOIUrl":"https://doi.org/10.5220/0004699301830195","url":null,"abstract":"Many psychological and social studies highlighted the two distinct channels we use to exchange information among us—an explicit, linguistic channel, and an implicit, paralinguistic channel. The latter contains information about the emotional state of the speaker, providing clues about the implicit meaning of the message. In particular, the paralinguistic channel can improve applications requiring human-machine interactions (for example, Automatic Speech Recognition systems or Conversational Agents), as well as support the analysis of human-human interactions (think, for example, of clinic or forensic applications). In this work we present PrEmA, a tool able to recognize and classify both emotions and communication style of the speaker, relying on prosodic features. In particular, communication-style recognition is, to our knowledge, new, and could be used to infer interesting clues about the state of the interaction. We selected two sets of prosodic features, and trained two classifiers, based on the Linear Discriminant Analysis. The experiments we conducted, with Italian speakers, provided encouraging results (Ac=71% for classification of emotions, Ac=86% for classification of communication styles), showing that the models were able to discriminate among emotions and communication styles, associating phrases with the correct labels.","PeriodicalId":326453,"journal":{"name":"International Conference on Physiological Computing Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123610265","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: 3

Detection of Electroencephalography Artefacts using Low Fidelity Equipment 使用低保真设备检测脑电图伪影

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0006398500650075

Patrick Schembri, R. Anthony, Mariusz Pelc

{"title":"Detection of Electroencephalography Artefacts using Low Fidelity Equipment","authors":"Patrick Schembri, R. Anthony, Mariusz Pelc","doi":"10.5220/0006398500650075","DOIUrl":"https://doi.org/10.5220/0006398500650075","url":null,"abstract":"The use of Electroencephalography (EEG) signals in the field of Brain Computer Interface (BCI) has gained prominence over the past decade, with the availability of diverse applications especially in the clinical sector. The major downside is that the current equipment being used at medical level is specialized, complex and very expensive. Our research goals are to further increase accessibility to this technology by providing a unique approach in data analysis techniques, which in return will allow the usage of cheaper and simpler EEG hardware devices targeted for end users. We use non-invasive BCIs designed on EEG, mainly due to its fine temporal resolution, portability and ease of use. The main shortcoming of EEG is that it is frequently contaminated by various artefacts. In this paper we provide vital groundwork by identifying and categorizing artefacts using low fidelity equipment. This work forms part of a wider project in which we attempt to use those artefacts constructively, when others try to filter them out. The main contribution is to create awareness of the extent to which artefacts can be encountered, identified and categorized using offthe shelf equipment. Our results illustrate that we are able to adequately identify and categorize the most commonly encountered artefacts in a non-clinical environment, using low fidelity equipment.","PeriodicalId":326453,"journal":{"name":"International Conference on Physiological Computing Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725338","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: 6

The Feasibility and Effectiveness of P300 Responses using Low Fidelity Equipment in Three Distinctive Environments 三种不同环境下使用低保真设备的P300响应的可行性和有效性

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0006895000770086

Patrick Schembri, R. Anthony, Mariusz Pelc

引用次数: 5

A Telerehabilitation System based on Wireless Motion Capture Sensors 基于无线运动捕捉传感器的远程康复系统

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0004873800550062

Pedro Macedo, J. Afonso, L. A. Rocha, Ricardo Simões

引用次数: 13

A Physiological Evaluation of Immersive Experience of a View Control Method using Eyelid EMG 眼睑肌电图对视觉控制方法沉浸式体验的生理评价

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0004719102240231

Masaki Omata, Satoshi Kagoshima, Yasunari Suzuki

引用次数: 0

In-chair Movements of Healthy People during Prolonged Sitting 健康人长时间坐着时的椅内运动

International Conference on Physiological Computing Systems Pub Date : 1900-01-01 DOI: 10.5220/0004723101450152

E. Marenzi, G. M. Bertolotti, G. Danese

引用次数: 2