... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献_第2页

A Survey on Algorithmic Problems in Wireless Systems 无线系统中的算法问题综述

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011791200003399

Simon Thelen, Klaus Volbert, D. Nunes

引用次数: 0

Gateway Placement in LoRaWAN Enabled Sensor Networks 启用LoRaWAN的传感器网络中的网关放置

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011777000003399

Batuhan Can, Halit Uyanık, T. Ovatman

引用次数: 0

Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace 三Pi感应限制传染病在工作场所的传播

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011747400003399

J. Grabis, R. Pirta-Dreimane, Brigita Dejus, A. Borodinecs, Rolands Zaharovs

引用次数: 2

On the Path Towards Standardisation of a Sensor API for Forensics Investigations 关于法医调查传感器API标准化的道路

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011688300003399

Marco Manso, B. Guerra, Fernando Freire, R. Chirico, N. Liberatore, Renea Linder, Ulrike Schröder, Yusuf Yilmaz

引用次数: 0

SLAE6: Secure and Lightweight Authenticated Encryption Scheme for 6LoWPAN Networks SLAE6: 6LoWPAN网络的安全轻量级认证加密方案

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011632200003399

Fatma Foad Ashrif, Elankovan Sundarajan, Rami Ahmed, M Zahid Hasan

引用次数: 5

A Low-Cost Sensors Study Measuring Exposure to Particulate Matter in Mobility Situations 低成本传感器在移动环境中测量暴露于颗粒物的研究

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011747600003399

Marie-Laure Aix, Mélaine Claitte, D. Bicout

引用次数: 0

TSCH Slotframe Optimization Using Differential Evolution Algorithm for Heterogeneous Sensor Networks 基于差分进化算法的异构传感器网络TSCH槽帧优化

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011623400003399

Aida Vatankhah, R. Liscano, Tarana Ara

引用次数: 0

SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T. SmartAct:使用可穿戴RGB-T的节能实时手对嘴手势检测。

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-09-01 DOI: 10.1109/bsn56160.2022.9928492

Soroush Shahi, Mahdi Pedram, Glenn Fernandes, Nabil Alshurafa

{"title":"SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T.","authors":"Soroush Shahi, Mahdi Pedram, Glenn Fernandes, Nabil Alshurafa","doi":"10.1109/bsn56160.2022.9928492","DOIUrl":"https://doi.org/10.1109/bsn56160.2022.9928492","url":null,"abstract":"<p><p>Researchers have been leveraging wearable cameras to both visually confirm and automatically detect individuals' eating habits. However, energy-intensive tasks such as continuously collecting and storing RGB images in memory, or running algorithms in real-time to automate detection of eating, greatly impacts battery life. Since eating moments are spread sparsely throughout the day, battery life can be mitigated by recording and processing data only when there is a high likelihood of eating. We present a framework comprising a golf-ball sized wearable device using a low-powered thermal sensor array and real-time activation algorithm that activates high-energy tasks when a hand-to-mouth gesture is confirmed by the thermal sensor array. The high-energy tasks tested are turning on the RGB camera (Trigger RGB mode) and running inference on an on-device machine learning model (Trigger ML mode). Our experimental setup involved the design of a wearable camera, 6 participants collecting 18 hours of data with and without eating, the implementation of a feeding gesture detection algorithm on-device, and measures of power saving using our activation method. Our activation algorithm demonstrates an average of at-least 31.5% increase in battery life time, with minimal drop of recall (5%) and without impacting the accuracy of detecting eating (a slight 4.1% increase in F1-Score).</p>","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176499/pdf/nihms-1889783.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9460562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

IoT Application for Monitoring and Storage of Temperature History in Electric Motors 物联网应用于电机温度历史的监测和存储

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0010818300003118

Jairovan Denis de Paiva, Carlos Roberto Silveira Junior, Arquimedes Lopes da Silva

引用次数: 0

Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm 基于CNN和随机森林算法的眼底图像视网膜血管语义分割

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2022-01-01 DOI: 10.5220/0010911800003118

Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, O. Ouchetto

{"title":"Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm","authors":"Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, O. Ouchetto","doi":"10.5220/0010911800003118","DOIUrl":"https://doi.org/10.5220/0010911800003118","url":null,"abstract":"Abstract: In this paper, we present a new study to improve the automated segmentation of blood vessels in diabetic retinopathy images. Pre-processing is necessary due to the contrast between the blood vessels and the background, as well as the uneven illumination of the retinal images, in order to produce better quality data to be used in further processing. We use data augmentation techniques to increase the amount of accessible data in the dataset to overcome the data sparsity problem that deep learning requires. We then use the CNN VGG16 architecture to extract the feature from the preprocessed background images. The Random Forest method will then use the extracted attributes as input parameters. We used part of the augmented dataset to train the model (1764 images, representing the training set); the rest of the dataset will be used to test the model (196 images, representing the test set). Regarding the model validation phase, we used the dedicated part for testing the DRIVE dataset. Promising results compared to the state of the art were obtained. The method achieved an accuracy of 98.7%, a sensitivity of 97.4% and specificity of 99.5%. A comparison with some recent previous work in the literature has shown a significant advancement in our proposal.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"5 1","pages":"163-170"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79854395","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