Towards Context of Quality in Mobile Sensing Campaigns

被引：1

作者：

Castro, Luis A. ^{[1
]}

Gutierrez, Leonardo J. ^{[1
]}

Rodriguez, Luis-Felipe ^{[1
]}

Ruiz, Erica C. ^{[1
]}

机构：

[1] Inst Tecnol Sonora ITSON, Obregon, Mexico

来源：

PROCEEDINGS OF THE 2017 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC '17 ADJUNCT) | 2017年

关键词：

Mobile sensing; Data quality; Mobile sensing campaigns; context of quality;

D O I：

10.1145/3123024.3124431

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Capturing large amounts of data in mobile sensing campaigns poses serious challenges related to data quality, particularly for advancing research. Data quality processes are usually carried out by researchers after careful scrutiny of data. In this paper, we present a platform for quality assurance in mobile sensing campaigns. The platform aims at working with any mobile sensing platform, and it is capable of analyzing and discriminating raw sensor data. In addition, this platform can provide a reputation for the participants based on the quality of the data provided.

引用

页码：470 / 475

页数：6

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