Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services最新文献

Marauder 掠夺者

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3466866

M. Ramanujam, H. Madhyastha, R. Netravali

引用次数: 1

LensCap

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3467676

Jinhan Hu, Andrei Iosifescu, R. Likamwa

{"title":"LensCap","authors":"Jinhan Hu, Andrei Iosifescu, R. Likamwa","doi":"10.1145/3458864.3467676","DOIUrl":"https://doi.org/10.1145/3458864.3467676","url":null,"abstract":"Augmented Reality (AR) enables smartphone users to interact with virtual content spatially overlaid on a continuously captured physical world. Under the current permission enforcement model in popular operating systems, AR apps are given Internet permission at installation time, and request camera permission and external storage write permission at runtime through a user's approval. With these permissions granted, any Internet-enabled AR app could silently collect camera frames and derived visual information for malicious intent without a user's awareness. This raises serious concerns about the disclosure of private user data in their living environments. To give users more control over application usage of their camera frames and the information derived from them, we introduce LensCap, a split-process app design framework, in which the app is split into a camera-handling visual process and a connectivity-handling network process. At runtime, LensCap manages secured communications between split processes, enacting fine-grained data usage monitoring. LensCap also allows both processes to present interactive user interfaces. With LensCap, users can decide what forms of visual data can be transmitted to the network, while still allowing visual data to be used for AR purposes on device. We prototype LensCap as an Android library and demonstrate its usability as a plugin in Unreal Engine. Performance evaluation results on five AR apps confirm that visual privacy can be preserved with an insignificant latency penalty (< 1.3 ms) at 60 FPS.","PeriodicalId":153361,"journal":{"name":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128185224","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: 14

Pain-o-vision, effortless pain management 视觉疼痛，轻松的疼痛管理

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3466907

B. Ramprasad, Hongkai Chen, A. Veith, K. Truong, E. D. Lara

引用次数: 3

LATTE

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.5040/9781350122741.1001332

H. Pasandi, T. Nadeem

引用次数: 0

Thermotag Thermotag

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3467879

Xingyu Chen, Jia Liu, Fu Xiao, Shigang Chen, Lijun Chen

{"title":"Thermotag","authors":"Xingyu Chen, Jia Liu, Fu Xiao, Shigang Chen, Lijun Chen","doi":"10.1145/3458864.3467879","DOIUrl":"https://doi.org/10.1145/3458864.3467879","url":null,"abstract":"Temperature sensing plays a significant role in upholding quality assurance and meeting regulatory compliance in a wide variety of applications, such as fire safety and cold chain monitoring. However, existing temperature measurement devices are bulky, cost-prohibitive, or battery-powered, making item-level sensing and intelligence costly. In this paper, we present a novel tag-based thermometer called Thermotag, which uses a common passive RFID tag to sense the temperature with competitive advantages of being low-cost, battery-free, and robust to environmental conditions. The basic idea of Thermotag is that the resistance of a semiconductor diode in a tag's chip is temperature-sensitive. By measuring the discharging period through the reverse-polarized diode, we can estimate the temperature indirectly. We propose a standards-compliant measurement scheme of the discharging period by using a tag's volatile memory and build a mapping model between the discharging period and temperature for accurate and reliable temperature sensing. We implement Thermotag using a commercial off-the-shelf RFID system, with no need for any firmware or hardware modifications. Extensive experiments show that the temperature measurement has a large span ranging from 0 °C to 85 °C and a mean error of 2.7 °C.","PeriodicalId":153361,"journal":{"name":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130979467","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

SpaceBeam SpaceBeam

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3466864

Timothy Woodford, Xinyu Zhang, Eugene Chai, K. Sundaresan, Amir Khojastepour

引用次数: 9

ThingSpire OS: a WebAssembly-based IoT operating system for cloud-edge integration ThingSpire OS:基于webassembly的物联网操作系统，用于云边缘集成

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3466910

Borui Li, Hongchang Fan, Yi Gao, Wei Dong

引用次数: 3

Lost and Found!: associating target persons in camera surveillance footage with smartphone identifiers 失物招领处!:将摄像头监控录像中的目标人物与智能手机识别码相关联

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3466904

Hansi Liu, Abrar Alali, Mohamed Ibrahim, Hongyu Li, M. Gruteser, Shubham Jain, Kristin J. Dana, A. Ashok, Bin Cheng, Hongsheng Lu

引用次数: 2

Open source RAN slicing on POWDER: a top-to-bottom O-RAN use case 基于POWDER的开源RAN切片:一个自上而下的O-RAN用例

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3466912

David Johnson, Dustin Maas, J. Merwe

引用次数: 8

mmMesh mmMesh

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2021-06-24 DOI: 10.1145/3458864.3467679

Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su

{"title":"mmMesh","authors":"Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su","doi":"10.1145/3458864.3467679","DOIUrl":"https://doi.org/10.1145/3458864.3467679","url":null,"abstract":"In this paper, we present mmMesh, the first real-time 3D human mesh estimation system using commercial portable millimeter-wave devices. mmMesh is built upon a novel deep learning framework that can dynamically locate the moving subject and capture his/her body shape and pose by analyzing the 3D point cloud generated from the mmWave signals that bounce off the human body. The proposed deep learning framework addresses a series of challenges. First, it encodes a 3D human body model, which enables mmMesh to estimate complex and realistic-looking 3D human meshes from sparse point clouds. Second, it can accurately align the 3D points with their corresponding body segments despite the influence of ambient points as well as the error-prone nature and the multi-path effect of the RF signals. Third, the proposed model can infer missing body parts from the information of the previous frames. Our evaluation results on a commercial mmWave sensing testbed show that our mmMesh system can accurately localize the vertices on the human mesh with an average error of 2.47 cm. The superior experimental results demonstrate the effectiveness of our proposed human mesh construction system.","PeriodicalId":153361,"journal":{"name":"Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122659095","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