群智大数据:感知、优选与理解  

Crowdsensing big data: sensing, data selection, and understanding

作　　者：郭斌[1] 翟书颖 於志文[1] 周兴社[1] GUO Bin ZHAI Shuying YU Zhiwen ZHOU Xingshe(School of Computer Science, Northwestern Polytechnical University, Xi＇an 710129, China Northwestern Polytechnical University Ming De College, Xi＇an 710129, China)

机构地区：[1]西北工业大学计算机学院,陕西西安710129 [2]西北工业大学明德学院,陕西西安710129

出　　处：《大数据》2017年第5期57-69,共13页Big Data Research

基　　金：国家重点基础研究发展计划("973"计划)基金资助项目(No.2015CB352400);国家自然科学基金资助项目(No.61332005;No.61373119)~~

摘　　要：移动群智感知是一种新的大规模感知模式,它利用随身携带的智能移动终端(智能手机、可穿戴设备等)形成大规模、随时随地且与人们日常生活密切相关的感知系统。通过广大用户参与获取的感知数据具有多模态、富内容、时空性、人本性等特征。以群智大数据为目标对象,就其感知、优选和理解等关键问题进行阐述和探讨,并对笔者在该领域的最新研究成果进行介绍。Mobile crowdsensing（MCS） has become an emerging paradigm for large-scale sensing. It empowers ordinary citizens to contribute data sensed or generated from their mobile devices（e.g., smartphones, wearable devices）, aggregates and fuses the data in the cloud for crowd intelligence extraction and human-centric service delivery. The data contributed by the crowd in MCS systems presents the features such as multi-modal, rich-content, spatio-temporal, and human-centric. The key challenges and techniques about crowdsensing big data were discussed. The recent progress of our group in this promising research area was described.

关 键 词：移动群智感知 群智大数据 数据优选 人机混合智能 群体智能 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]