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- research-articleOctober 2023
A Classical Machine Learning Method for Locomotion and Transportation Recognition using both Motion and Location Data
UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable ComputingPages 511–516https://doi.org/10.1145/3594739.3610747The fifth edition of Sussex-Huawei Locomotion-Transportation (SHL) recognition challenge aims at determining the mode of locomotion and transportation of users using sensor-equipped devices. This recognition task relies on measurements captured from ...
- research-articleNovember 2018
Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life
MobiQuitous '18: Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and ServicesPages 342–351https://doi.org/10.1145/3286978.3287006In this paper, we focus on simultaneous inference of transportation modes and human activities in daily life via modelling and inference from multivariate time series data, which are streamed from off-the-shelf mobile sensors (e.g. embedded in ...
- research-articleJanuary 2017
Transportation mode inference using environmental constraints
IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and CommunicationArticle No.: 83, Pages 1–8https://doi.org/10.1145/3022227.3022309Analysis of transportation mode used by tourists in touristic destination areas provides basic information of tourism policy making for local governments or marketing strategy making for the tourism industry. With the technical advances of tracking ...
- posterSeptember 2014
Poster: detection of transportation mode based on smartphones for reducing distracted driving
MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networkingPages 355–358https://doi.org/10.1145/2639108.2642911Nowadays, distracted driving is becoming a very dangerous epidemic on the roadways. A lot of activities may lead to distracted driving, such as texting, making phone calls, using GPS or road maps, eating, using in-car entertainment systems, etc. As the ...
- research-articleAugust 2014
Big data small footprint: the design of a low-power classifier for detecting transportation modes
Proceedings of the VLDB Endowment (PVLDB), Volume 7, Issue 13Pages 1429–1440https://doi.org/10.14778/2733004.2733015Sensors on mobile phones and wearables, and in general sensors on IoT (Internet of Things), bring forth a couple of new challenges to big data research. First, the power consumption for analyzing sensor data must be low, since most wearables and ...
- research-articleMarch 2014
Exploring the significance of human mobility patterns in social link prediction
SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied ComputingPages 604–609https://doi.org/10.1145/2554850.2554918Link prediction is a fundamental task in social networks. Recently, emphasis has been placed on forecasting new social ties using user mobility patterns, e.g., investigating physical and semantic co-locations for new proximity measure. This paper ...
- ArticleJune 2013
Real-Time Street Parking Availability Estimation
MDM '13: Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management - Volume 01Pages 16–25https://doi.org/10.1109/MDM.2013.12Real-time parking availability information is important in urban areas, and if available could reduce congestion, pollution, and gas consumption. In this paper, we present a software solution called PhonePark for detecting the availability of on-street ...
- ArticleMarch 2009
Impact of 2008 Olympic Games on Urban Transportation and it's Development Strategies in Beijing
ICCAE '09: Proceedings of the 2009 International Conference on Computer and Automation EngineeringPages 252–258https://doi.org/10.1109/ICCAE.2009.49When Beijing was awarded to host the 2008 Olympic Games on July 13, 2001, it not only marked the long expected victory for the Chinese capital to host the international event for the first time, but also opened a wide gate for urban transportation ...
- research-articleApril 2008
Learning transportation mode from raw gps data for geographic applications on the web
WWW '08: Proceedings of the 17th international conference on World Wide WebPages 247–256https://doi.org/10.1145/1367497.1367532Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning knowledge from users' raw GPS data can provide rich context information for ...