2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)最新文献

Development of a multi-lead ECG wearable sensor system for biomedical applications 用于生物医学应用的多导联心电可穿戴传感器系统的开发

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-07-13 DOI: 10.1109/IWASI.2017.7974253

M. Caldara, D. Comotti, L. Gaioni, Andrea Pedrana, M. Pezzoli, V. Re, G. Traversi

引用次数: 4

Flexible pressure and proximity sensor surfaces manufactured with organic materials 用有机材料制造的柔性压力和接近传感器表面

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-07-10 DOI: 10.1109/IWASI.2017.7974214

M. Fattori, E. Cantatore, G. Pauer, T. Agostinelli, B. Stadlober, H. Gold

引用次数: 4

Low-cost antenna technology for LPWAN IoT in rural applications LPWAN物联网在农村应用中的低成本天线技术

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974231

C. Pham, F. Ferrero, M. Diop, L. Lizzi, Ousmane Dieng, Ousmane Thiaré

引用次数: 14

Activation of bottom-up and top-down auditory pathways by US sensors based interface 基于US传感器的接口激活自下而上和自上而下的听觉通路

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974200

D. Menniti, M. G. Bianco, S. Pullano, R. Citraro, E. Russo, G. Sarro, A. Fiorillo

引用次数: 0

Wiring brain and artificial neurons through neural interfaces and memristive synapses: The first steps 通过神经接口和记忆突触连接大脑和人工神经元:第一步

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974206

S. Vassanelli

引用次数: 0

Comparison of electrode technologies for dry and portable EEG acquisition 干式和便携式脑电采集电极技术的比较

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974202

Mark E. O'Sullivan, Jonatan Poveda Pena, Andrea Bocchino, C. O’Mahony, Daniel Costello, E. Popovici, A. Temko

引用次数: 11

Characterization of modified working electrodes for sensing applications by means of electrolyte-gated TFT and cyclic voltammetry 用电解门控TFT和循环伏安法表征传感应用的修饰工作电极

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974216

Brigitte Holzer, K. Manoli, N. Ditaranto, E. Macchia, C. Franco, G. Scamarcio, L. Torsi

引用次数: 0

Autonomous vehicles: A playground for sensors 自动驾驶汽车:传感器的游乐场

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974198

A. Sangiovanni-Vincentelli, B. Vigna

引用次数: 6

A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC 基于多核生物医学SoC的肌电信号手势识别实时实现

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974234

S. Benatti, G. Rovere, Jonathan Bosser, Fabio Montagna, Elisabetta Farella, Horian Glaser, Philipp Schönle, T. Burger, S. Fateh, Qiuting Huang, L. Benini

{"title":"A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC","authors":"S. Benatti, G. Rovere, Jonathan Bosser, Fabio Montagna, Elisabetta Farella, Horian Glaser, Philipp Schönle, T. Burger, S. Fateh, Qiuting Huang, L. Benini","doi":"10.1109/IWASI.2017.7974234","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974234","url":null,"abstract":"Real-time biosignal classification in power-constrained embedded applications is a key step in designing portable e-healtb devices requiring hardware integration along with concurrent signal processing. This paper presents an application based on a novel biomedical System-On-Chip (SoC) for signal acquisition and processing combining a homogeneous multi-core cluster with a versatile bio-potential front-end. The presented implementation acquires raw EMG signals from 3 passive gel-electrodes and classifies 3 hand gestures using a Support Vector Machine (SVM) pattern recognition algorithm. Performance matches state-of-the-art high-end systems both in terms of recognition accuracy (>S5%) and of real-time execution (gesture recognition time 300 ms). The power consumption of the employed biomedical SoC is below 10 mW, outperforming implementations on conunercial MCUs by a factor of 10, ensuring a battery life of up to 160 hours with a common Li-ion 1600 mAh battery.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122794062","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: 26

Cyber-physical virtual platforms: Techniques for sensors integration 网络物理虚拟平台:传感器集成技术

2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI) Pub Date : 2017-06-15 DOI: 10.1109/IWASI.2017.7974211

F. Fummi

{"title":"Cyber-physical virtual platforms: Techniques for sensors integration","authors":"F. Fummi","doi":"10.1109/IWASI.2017.7974211","DOIUrl":"https://doi.org/10.1109/IWASI.2017.7974211","url":null,"abstract":"Cyber-physical systems (CPSs) embed HW/SW devices that implement controlling strategies of physical processes. Such strategies are usually designed as architecture agnostic mathematical models, that are unaware of constraints imposed by the embedded HW platform. As such, the developed strategy may be unable to control the actual system. This implies the need of cyber-physical virtual-platforms (VPs), where an abstract control algorithm can be refined up to its actual SW implementation. This speech investigates the main methodologies for extending standard embedded VPs to cyber-physical VPs that integrate continuous-time components, like sensors and analog interfaces. We examine the theoretical problem of integrating different models of computations and its practical solution through co-simulation, particularly based on the FMI/FMU standards. However, computational bottlenecks discourage in using co-simulation in real cases, thus more innovative solutions must be used, like the automatic abstraction of IP components. Such techniques are mature and well developed if applied to digital IPs, while they are in their infancy for analog IPs. However, the speech presents innovative and affective approaches in this field. Finally, a cyber-physical VP is also useful for checking and estimating extra-functional properties like power consumption, temperature, ageing and functional safety. This would require the integration of plenty of tools, or the generation of extra-functional models to be integrated in the same cyber-physical VP, which becomes the core tool for CPSs design, validation and optimization.","PeriodicalId":332606,"journal":{"name":"2017 7th IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125423440","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