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2019 IEEE Sensors Applications Symposium (SAS)最新文献

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SmartAid: A Low-Power Smart Hearing Aid For Stutterers SmartAid:为口吃者提供的低功耗智能助听器
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-05-06 DOI: 10.1109/SAS.2019.8706115
Moritz Scherer, Kiran Menachery, M. Magno
{"title":"SmartAid: A Low-Power Smart Hearing Aid For Stutterers","authors":"Moritz Scherer, Kiran Menachery, M. Magno","doi":"10.1109/SAS.2019.8706115","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706115","url":null,"abstract":"Interdisciplinary projects combining biomedical and electrical engineering pose an interesting opportunity for today’s society. In the future, more and more people will have to rely on wearable devices to monitor and understand biological variables. One of the most key challenges is the design of wearable devices that operate reliably and autonomously for long periods using small batteries. In this paper, we present the design of a novel smart hearing aid for stutterers in which an event-driven architecture is used to minimize power consumption, and onboard processing and actuators help the user to stop stuttering. The design has been implemented using a novel Ambiq Apollo 2 Blue processor, which includes a 5.0 Bluetooth interface with the lowest power consumption on the market and tested in the field. The microcontroller performs the data analyses directly onboard actuating a speaker to help the user when needed. Experimental results show that our solution can last for up to 8 days on a single charge due to its low average power consumption of 1.5 mW during continuous operation, that is reduced to 832 µW in idle.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134083379","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
Hidden Markov Model-Based Asthmatic Wheeze Recognition Algorithm Leveraging the Parallel Ultra-Low-Power Processor (PULP) 利用并行超低功耗处理器(PULP)的基于隐马尔可夫模型的哮喘喘息识别算法
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-05-06 DOI: 10.1109/SAS.2019.8706033
D. Oletić, Marko Matijascic, V. Bilas, M. Magno
{"title":"Hidden Markov Model-Based Asthmatic Wheeze Recognition Algorithm Leveraging the Parallel Ultra-Low-Power Processor (PULP)","authors":"D. Oletić, Marko Matijascic, V. Bilas, M. Magno","doi":"10.1109/SAS.2019.8706033","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706033","url":null,"abstract":"Asthmatic symptoms can be quantified by a wearable sensor system, recording respiratory sounds on patient’s skin surface, and performing automated asthmatic wheeze recognition based on time-frequency features. In order to enable long-term autonomy of such sensor system, a crucial design requirement is ensuring energy-efficient yet accurate wheeze recognition performance. We presented a Hidden Markov Model-based algorithm for recognition of wheezing intervals durations, by sequentially extracting individual wheezing-frequency lines from the spectrogram of respiratory sounds. In this paper we compare its implementation on an ARM Cortex-M4 processor and an emerging parallel ultra-low-power processing platform PULP Fulmine. It is shown that the algorithm enables wheeze recognition with 82.85% of sensitivity and 95.61% specificity, for only 0.9-1.6 mW of power. It is experimentally verified that algorithm benefits from a multi-core architectures such as PULP Fulmine. The implementation on this platform brings up to around 40% reduction of average power spent on processing, compared to the ARM Cortex-M4 Blue Gecko.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130495016","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
Hydrodynamic Imaging using an all-optical 2D Artificial Lateral Line 利用全光学二维人工侧线进行流体动力学成像
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-05-06 DOI: 10.1109/SAS.2019.8706030
B. Wolf, S. M. Netten
{"title":"Hydrodynamic Imaging using an all-optical 2D Artificial Lateral Line","authors":"B. Wolf, S. M. Netten","doi":"10.1109/SAS.2019.8706030","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706030","url":null,"abstract":"Fish and amphibians can sense their hydrodynamic environment via fluid flow sensing organs, called lateral lines. Using this lateral line they are able to detect disturbances in the hydrodynamic near field which enables hydrodynamic imaging, i.e. obstacle detection. Via two experiments we demonstrate a novel artificial lateral line of four bio-inspired 2D fluid flow sensors and show that the measurements of the enacted sensors agree with an established hydrodynamic model. These measurements from the array are then used to localize both vibrating and unidirectionally moving objects using an artificial neural network in a bounded area of 36 by 11 cm which extends beyond the area directly in front of the sensor array. In this area, the average Euclidean localization error is 1.3 cm for a vibrating object, while for moving a object it is on average 3.3 cm.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121448546","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: 9
Low-cost 3D Laser Design and Evaluation with Mapping Techniques Review 基于测绘技术的低成本三维激光设计与评价综述
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-05-06 DOI: 10.1109/SAS.2019.8706006
L. Bauersfeld, G. Ducard
{"title":"Low-cost 3D Laser Design and Evaluation with Mapping Techniques Review","authors":"L. Bauersfeld, G. Ducard","doi":"10.1109/SAS.2019.8706006","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706006","url":null,"abstract":"This paper presents a design of a low cost 3D laser scanner. It was developed by adding an additional axis of rotation to a planar (2D) laser scanner. By tilting the laser scanner with respect to the additional axis of rotation, a more even scan point distribution can be achieved. This paper provides an analysis of the 3D scanning performance that can be expected from such a configuration. Then a review of methods that could be appropriate for 3D mapping with such a low-cost 3D laser scanner design is provided. Experiments show that this setup can be used onboard small vehicles to perform simultaneous localization and mapping in three dimensions.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117115153","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
Load Estimation of Intelligent Tires Equipped with Acceleration Sensors 装有加速度传感器的智能轮胎载荷估计
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-13 DOI: 10.1109/SAS.2019.8705988
Dasol Jeong, Jonghyup Lee, Seibum B. Choi, Mintae Kim
{"title":"Load Estimation of Intelligent Tires Equipped with Acceleration Sensors","authors":"Dasol Jeong, Jonghyup Lee, Seibum B. Choi, Mintae Kim","doi":"10.1109/SAS.2019.8705988","DOIUrl":"https://doi.org/10.1109/SAS.2019.8705988","url":null,"abstract":"Vehicle load and tire load play an important role in estimating vehicle parameters and vehicle control. In previous studies, the tire load was estimated based on vehicle dynamics. However, the load estimation algorithm based on vehicle dynamics is highly dependent on the vehicle parameters and has a long estimation time and low accuracy. This paper proposes a new load estimation algorithm using an intelligent tire sensor. The proposed algorithm is analyzed through a flexible ring tire model, which is a physical tire model, and is constructed based on the relationship between load-contact angle-pressure. The performance of the load estimation algorithm is verified by indoor tests using Flat trac. As a result, fast estimation times and high estimation accuracy are confirmed under various conditions.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114446853","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
Bring your own Sensor: Use your Android Smartphone as a Sensing Platform 带上你自己的传感器:使用你的安卓智能手机作为传感平台
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8705987
Gilles Callebaut, Geoffrey Ottoy, L. D. Strycker
{"title":"Bring your own Sensor: Use your Android Smartphone as a Sensing Platform","authors":"Gilles Callebaut, Geoffrey Ottoy, L. D. Strycker","doi":"10.1109/SAS.2019.8705987","DOIUrl":"https://doi.org/10.1109/SAS.2019.8705987","url":null,"abstract":"Various distributed sensing applications are being deployed in the context of crowd-sensing. These applications often require that sensors are mutually synchronized. However, when synchronization is required in a setting where volunteers bring their own mobile device, to contribute to a measurement campaign, several issues arise. This paper analyses and evaluates the Android mobile platform for applications which require collaborative continuous sensing. These applications rely on time synchronized devices to sample sensors at a high data rate and without discontinuities. We show that it is feasible to synchronize smartphones without limiting the system’s scalability, or introducing additional power consumption. Furthermore, the challenges related to continuous sensing in Android for crowd- sensing applications are identified.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115003071","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
Brake Detection for Electric Bicycles using Inertial Measurement Units 基于惯性测量单元的电动自行车制动检测
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706001
Jan Schnee, Jürgen Stegmaier, Tobias Lipowsky, Pu Li
{"title":"Brake Detection for Electric Bicycles using Inertial Measurement Units","authors":"Jan Schnee, Jürgen Stegmaier, Tobias Lipowsky, Pu Li","doi":"10.1109/SAS.2019.8706001","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706001","url":null,"abstract":"The traffic situation of today’s streets is changing through an increase in light electrical vehicular transportation systems. One of those systems is the electronically power assisted cycle (EPAC). As this vehicle group is regarded as strongly exposed, the improvement of cycling safety and the analysis of the rider-behavior is gaining importance. By integrating inertial measurement based brake detection systems, both goals are simultaneously addressed. The approach presented in this paper estimates the brake magnitude of electric bicycles by combining the state-of-the-art brake detection methods and a model-based longitudinal dynamics system to achieve not only a fast response time, but also a reliable detection of persistent braking situations. The experimental results show good accuracy and the influence of further pre-estimated parameters is evaluated through a sensitivity analysis.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122768071","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
Target Speed Sensing Technique using Dilation Correlation of Ultrasonic Signal for Vehicle 基于超声信号膨胀相关的车辆目标速度传感技术
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706036
Seungin Shin, Seibum B. Choi
{"title":"Target Speed Sensing Technique using Dilation Correlation of Ultrasonic Signal for Vehicle","authors":"Seungin Shin, Seibum B. Choi","doi":"10.1109/SAS.2019.8706036","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706036","url":null,"abstract":"Direct measurement of the target speed ahead of the vehicle helps control the vehicle in many ways. Ultrasonic sensing is mostly used for distance measurement and differentiation is used for obtaining speed information. In most cases, the distance value differential is accompanied by a large speed error. This paper proposes direct target speed measurement in time domain, using the dilation correlation and the Doppler effect. Using the binarized ultrasonic signal in the correlation, it is possible to calculate the target speed even at a low sampling rate of 100 kHz, and the memory and computational load required for signal processing is low. Experimental results using two vehicles show acceptable RMS errors of 1.81 km/h that can be used for vehicle control, and have a better RMS error than the method of calculating the speed by differentiating the distance values obtained by the ultrasonic time-of-flight method.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121836941","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
Specialized visual sensor coupled to a dynamic neural field for embedded attentional process 专用视觉传感器与动态神经场耦合，用于嵌入式注意过程
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8705979
Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoît Miramond
{"title":"Specialized visual sensor coupled to a dynamic neural field for embedded attentional process","authors":"Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoît Miramond","doi":"10.1109/SAS.2019.8705979","DOIUrl":"https://doi.org/10.1109/SAS.2019.8705979","url":null,"abstract":"Machine learning has recently taken the leading role in machine vision through deep learning algorithms. It has brought the best results in object detection, recognition and tracking. Nevertheless, these systems are computationally expensive since they need to process the whole images from the camera for producing such results. Consequently, they require important hardware resources that limit their use for embedded applications. In the other hand, we find a more efficient mechanism in biological systems. The brain, indeed, enables an attentional process to focus on the relevant information from the environment, and hence process only a sub-part of the visual field at a time. In this work, we implement a brain-inspired attentional process through dynamic neural fields that is integrated in two types of specialized visual sensors: frame-based and event-based cameras. We compare the obtained results on tracking performances and power consumption in the context of embedded recognition and tracking.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122021127","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
LoRa-based Measurement Station for Water Quality Monitoring: Case of Botanical Garden Pool 基于lora的水质监测监测站——以植物园水池为例
2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8705986
Bassirou Ngom, M. Diallo, B. Gueye, N. Marilleau
{"title":"LoRa-based Measurement Station for Water Quality Monitoring: Case of Botanical Garden Pool","authors":"Bassirou Ngom, M. Diallo, B. Gueye, N. Marilleau","doi":"10.1109/SAS.2019.8705986","DOIUrl":"https://doi.org/10.1109/SAS.2019.8705986","url":null,"abstract":"The advent of Internet of Things (IoT) has made easier to build number of applications. In fact, the remote monitoring or sensing has been facilitated by the IoT. A number of sensor nodes with a networking capability can be deployed in order to have an ad hoc or continuous monitoring system. However, physicists at UCAD’s Faculty of Science still use traditional means to collect their water quality data from a pool in the faculty’s Botanical Garden with on-site measurements. This pool is used for aquaculture and to study some aquatic species. In this paper, we present a water quality monitoring system through LoRa transmission. It’s a low cost infrastructure composed of a remote station for real-time data collection and a web platform for visualization and exploitation. To evaluate the reliability and efficiency of the system, we perform some performance tests and the results are also presented.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129814045","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: 15
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