2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)最新文献_第4页

A Comparison of Decentralized Congestion Control Algorithms for Multiplatooning Communications 多队列通信中分散拥塞控制算法的比较

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730578

A. Balador, C. Bai, F. Sedighi

引用次数: 5

PerLE: A Testbed for Pervasive Middlewares in Learning Environments PerLE:学习环境中普及中间件的测试平台

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730747

J. Naber, Steffen Schmitz, C. Becker

引用次数: 1

Volleyball Setting Technique Assessment Using a Single Point Sensor 利用单点传感器对排球坐位技术进行评估

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730811

Ann-Kathrin Holatka, H. Suwa, K. Yasumoto

{"title":"Volleyball Setting Technique Assessment Using a Single Point Sensor","authors":"Ann-Kathrin Holatka, H. Suwa, K. Yasumoto","doi":"10.1109/PERCOMW.2019.8730811","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730811","url":null,"abstract":"The correct technique is one of the main aspects for semi-professional athletes training their volleyball skills. Traditional training and movement assessment though, might not yield the best result to improve the capabilities of a player. Hereby problems or sub-optimal executions of a movement from a technical point of view are often not easily detectable by a coach or without technical support. We investigate the usage of an IMU (inertial measurement unit) combined with an EMG sensor in form of a ‘Myo’ Sensor unit [16], to classify the setting action of a volleyball player to afterwards judge the technical qualities of the movement and suggest improvements like a digital coach. We look into the framework to gather a suitable ground truth and detect the sequence of the actual setting in the datasets. This is then used in combination with a machine learning model to classify the movement. Results show that a subjective direct description of the inaccuracies of the movement as a ground truth is sufficient for this approach. An additional scored function is designed to classify allowed setting actions by the international Volleyball rules [6]. The sequence selection shows optimal results for 54.4% of the samples, 26.6% of the selected sequences show minor displacements. The classification of the setting action shows best results for labels with 2, 3 and 4 classes with an F1-score of 0.74, 0.64 and 0.35, respectively. The classification results are overall reasonable and are especially interesting for the scored function, giving feedback for beginner players. Using the classification model, feedback for the player is created directly through the ground truth labeling.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"28 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":"127300859","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: 8

Improving Pedestrian Dead Reckoning Using Likely Paths and Backtracking for Mobile Devices 使用可能路径和回溯改进移动设备的行人航位推算

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730734

Fabian Hölzke, Johann-Peter Wolff, C. Haubelt

{"title":"Improving Pedestrian Dead Reckoning Using Likely Paths and Backtracking for Mobile Devices","authors":"Fabian Hölzke, Johann-Peter Wolff, C. Haubelt","doi":"10.1109/PERCOMW.2019.8730734","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730734","url":null,"abstract":"Pedestrian Dead Reckoning is a method estimating a persons path from a known starting point based on length and direction of all performed steps. Measuring these parameters, e.g. using inertial sensors, introduces small errors that accumulate quickly into large distance errors. Knowledge of a building's model may reduce these errors as it can be used to keep the estimated position from moving through walls and onto likely paths. Common indoor localization approaches like particle filters track, verify and re-sample several hundred positioning estimates with each user step, resulting in a comparably high computational load. In this paper, we use backtracking to improve an existing localization system tracking a single localization estimate using a foot-mounted inertial sensor and a smartphone. We show how backtracking a single localization estimate can improve the accuracy of indoor positioning systems and discuss restrictions and disadvantages of this approach. Our quantitative results show a reduction of the positioning error by up to 75% and an average endpoint accuracy of 1.91% of the travelled distance with an average computation time of $356.7mu s$ on a 2014 Motorola G2 smartphone.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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":"131184172","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

Ambient Cues of Kitchen Counter in Guiding Cooking Activities for Alzheimer's Patient 厨房柜台环境提示在指导老年痴呆症患者烹饪活动中的作用

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730829

N. Basharudin, K. Azir, A. M. Khairuddin, P. Ehkan

引用次数: 1

Controlling Sensor Data Dissemination Method for Collective Perception in VANET VANET集体感知控制传感器数据传播方法

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730601

Kaito Furukawa, M. Takai, S. Ishihara

{"title":"Controlling Sensor Data Dissemination Method for Collective Perception in VANET","authors":"Kaito Furukawa, M. Takai, S. Ishihara","doi":"10.1109/PERCOMW.2019.8730601","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730601","url":null,"abstract":"Vehicles can expand its own perceptual range about road traffic by collective perception technique for sharing sensor data about objects in vicinity among the neighbors by using Vehicle-to-Vehicle communication. In high vehicle density, however, packet collisions and the hidden terminal problem make it difficult to deliver messages containing the sensor data. To ensure delivering the useful sensor data for avoiding collision accidents, we proposed the strategy of a method to control the transmission frequency of sensor data based on the positional relationship of vehicles and the road structure in order to improve the surrounding awareness of vehicles in previous our work. In this paper, based on the strategy, we propose the detail of the strategy, the scheme for automatically select vehicles with a high probability to broadcast sensor data, method and evaluate the effectiveness of the method through simulations compared with a related work. This method is effective for avoiding collision accidents because vehicles can perceive the presence of other vehicles while reducing radio traffic.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"19 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":"123869329","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

Vision and Acceleration Modalities: Partners for Recognizing Complex Activities 视觉和加速模式:识别复杂活动的伙伴

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730690

Alexander Diete, T. Sztyler, H. Stuckenschmidt

引用次数: 8

Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems 演示:在普适通信系统中可视化适应决策

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730661

Martin Pfannemüller, Janick Edinger, Markus Weckesser, R. Kluge, Manisha Luthra, Robin Klose, C. Becker, Andy Schürr

引用次数: 2

Worker Assistance in Smart Production Environments Using Pervasive Technologies 使用普及技术的智能生产环境中的工人协助

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730771

H. Dhiman, C. Röcker

引用次数: 11

Improvements of Image Retrieval-based Visual Localization Using Structured Database 基于图像检索的结构化数据库视觉定位改进

2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Pub Date : 2019-03-11 DOI: 10.1109/PERCOMW.2019.8730768

Ayari Akada, Junji Takahashi, Yue Yong

引用次数: 0