Ayumi Ohnishi, Isao Nishiyama, T. Terada, M. Tsukamoto
{"title":"An Auditory Feedback System to Improve the Foot Pressure Balance for Runners","authors":"Ayumi Ohnishi, Isao Nishiyama, T. Terada, M. Tsukamoto","doi":"10.1145/3365921.3365941","DOIUrl":"https://doi.org/10.1145/3365921.3365941","url":null,"abstract":"This paper proposes an auditory feedback system for adjusting the foot pressure balance of runners equally between the left and right feet. A wireless shoe system that measures foot plantar pressure in real time was proposed, and two types of auditory feedback mechanisms were provided and evaluated: 1) \"Footstep\" with a constant 440-Hz sound presented at the time of contact and 2) \"Pitch change\" that adaptively changes the sound to 880 Hz for the foot when a higher foot load is detected. The results of the user studies did not show a significant change in foot pressure difference with the proposed technique. The influence of the two auditory feedbacks on foot pressure was different for each subject; however, we confirmed the change of foot pressure balance by the change of sound.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"76 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121016789","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}
Eira Friström, Elias Lius, Niki Ulmanen, Paavo Hietala, Pauliina Kärkkäinen, Tommi Mäkinen, S. Sigg, R. Findling
{"title":"Free-Form Gaze Passwords from Cameras Embedded in Smart Glasses","authors":"Eira Friström, Elias Lius, Niki Ulmanen, Paavo Hietala, Pauliina Kärkkäinen, Tommi Mäkinen, S. Sigg, R. Findling","doi":"10.1145/3365921.3365928","DOIUrl":"https://doi.org/10.1145/3365921.3365928","url":null,"abstract":"Contemporary personal mobile devices support a variety of authentication approaches, featuring different levels of security and usability. With cameras embedded in smart glasses, seamless, hands-free mobile authentication based on gaze is possible. Gaze authentication relies on knowledge as a secret, and gaze passwords are composed from a series of gaze points or gaze gestures. This paper investigates the concept of free-form mobile gaze passwords. Instead of relying on gaze gestures or points, free-form gaze gestures exploit the trajectory of the gaze over time. We collect and investigate a set of 29 different free-form gaze passwords from 19 subjects. In addition, the practical security of the approach is investigated in a study with 6 attackers observing eye movements during password input to subsequently perform spoofing. Our investigation indicates that most free-form gaze passwords can be expressed as a set of common geometrical shapes. Further, our free-form gaze authentication yields a true positive rate of 81% and a false positive rate with other gaze passwords of 12%, while targeted observation and spoofing is successful in 17.5% of all cases. Our usability study reveals that further work on the usability of gaze input is required as subjects reported that they felt uncomfortable creating and performing free-form passwords.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126655816","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}
Ankita Dewan, Venkata M. V. Gunturi, Vinayak Naik, Kartik Vishwakarma, Shrehal Bohra
{"title":"A Hierarchical Classifier for Detecting Metro-Journey Activities in Data Sampled at Low Frequency","authors":"Ankita Dewan, Venkata M. V. Gunturi, Vinayak Naik, Kartik Vishwakarma, Shrehal Bohra","doi":"10.1145/3365921.3365937","DOIUrl":"https://doi.org/10.1145/3365921.3365937","url":null,"abstract":"This paper aims to build a novel classification model that can distinguish the typical motion activities that a traveler would perform in a metro-journey. Following motion activities are focused in this work: waiting in a queue, traveling in a metro train, climbing-up, climbing-down, walking and stationary. We aim to build a classifier which can work on data sampled from smartphone sensors at a low frequency (4Hz). However, it is non-trivial to do so as the mentioned activities are not easily separable in data sampled at low frequency. Current works focus on data sampled at high frequency (40Hz). Also, they don't consider metro-journey specific activities such as queue. Our proposed model focuses on all the metro-journey specific activities while using data sampled at low frequency (4Hz). Experimental evaluation (datasets collected in Delhi Metro-rail network) indicate superior performance of our classifier (mean accuracy 92%) over the related work (mean accuracy 70%).","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111143","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}
{"title":"Fun with AEDs: Examining the Effects of a Gamified Mobile Crowdsourcing Application","authors":"Anran Hao, C. S. Lee, Wesley Chee-Wah Tan","doi":"10.1145/3365921.3365947","DOIUrl":"https://doi.org/10.1145/3365921.3365947","url":null,"abstract":"Crowdsourcing applications enable mass collaboration on problem solving by distributing tasks to individual users. However, the success of crowdsourcing relies on active participation of the users and hence requires an effective incentive mechanism. This study presents an application prototype which utilises mobile crowdsourcing for a nationwide automated external defibrillator (AED) database and explores gamification as the sole incentive strategy on it. Based on motivational needs identified in selfdetermination theory (SDT), we conducted a survey study of 160 participants by examining the effects of the gamified mobile crowdsourcing application against a non-gamified version. Results of regression analyses reveal that the gamification influenced how motivational factors, including perceived value, competence and relatedness, drove users' usage intention of the application.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116195650","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}
Paras Sitoula, Dwi A. P. Rahayu, P. D. Haghighi, Sarah Goodwin, Chris Ling
{"title":"Context-Aware Smart Energy Recommender (CASER)","authors":"Paras Sitoula, Dwi A. P. Rahayu, P. D. Haghighi, Sarah Goodwin, Chris Ling","doi":"10.1145/3365921.3365935","DOIUrl":"https://doi.org/10.1145/3365921.3365935","url":null,"abstract":"With increasing electricity demand, implementing smart energy saving strategies in residential houses becomes more important than ever before. Real-time and context-aware recommendation systems can provide residents with useful information to monitor their energy consumption, predict future usage, and recommend shifting their load to another time period. This study aims to improve the management of residential loads at the consumer level while at the same time providing energy providers with an overview of energy usage at the household and substation levels. This includes real time, historical and predicted usage. In this paper we introduce a Context-Aware Smart Energy Recommender (CASER) that consists of a client-side mobile app and a backend web portal. The implementation uses alternative visualization techniques to provide electricity usage information and recommendations for the consumers and the energy providers. The accuracy of our context-aware prediction was evaluated using publicly available smart meter data.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132395877","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}
{"title":"Activity Recognition and Stress Detection via Wristband","authors":"J. Wong, Jun Wang, E. Fu, H. Leong, G. Ngai","doi":"10.1145/3365921.3365950","DOIUrl":"https://doi.org/10.1145/3365921.3365950","url":null,"abstract":"Advancement of micro-electromechanical systems enables easy daily activity and physiological data collection with a smart wristband and smartphone. Making use of those signals in various intelligent algorithm can contribute much to trending m-health applications. The ability of continuously monitoring physical activities and stress level can help users to better track their health condition. In this study, we propose to recognize different physical activities and detect long lasting stress level based on the 3-axis acceleration signals and physiological signals. We are able to achieve accuracy of around 97% for physical activities recognition and more than 80% for stress detection. We also discover that physiological signals alone cannot distinguish well between the high intensity activities and the stress condition.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122878059","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}
{"title":"Hide my Gaze with EOG!: Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses","authors":"R. Findling, Tahmid Quddus, S. Sigg","doi":"10.1145/3365921.3365922","DOIUrl":"https://doi.org/10.1145/3365921.3365922","url":null,"abstract":"Smart glasses allow for gaze gesture passwords as a hands-free form of mobile authentication. However, pupil movements for password input are easily observed by attackers, who thereby can derive the password. In this paper we investigate closed-eye gaze gesture passwords with EOG sensors in smart glasses. We propose an approach to detect and recognize closed-eye gaze gestures, together with a 7 and 9 character gaze gesture alphabet. Our evaluation indicates good gaze gesture detection rates. However, recognition is challenging specifically for vertical eye movements with 71.2%-86.5% accuracy and better results for opened than closed eyes. We further find that closed-eye gaze gesture passwords are difficult to attack from observations with 0% success rate in our evaluation, while attacks on open eye passwords succeed with 61%. This indicates that closed-eye gaze gesture passwords protect the authentication secret significantly better than their open eye counterparts.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114062924","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}
Mateusz Paciorek, Piotr Wawryka, Adrian Klusek, Przemysław Kalawski, Michal Kosowski, Andrzej Piechowicz, Julia Plewa, Marek Powroznik, Michał Śledź, A. Byrski, Marcin Kurdziel, Wojciech Turek
{"title":"Active Safety for Individual and Connected Vehicles using Mobile Phone Only","authors":"Mateusz Paciorek, Piotr Wawryka, Adrian Klusek, Przemysław Kalawski, Michal Kosowski, Andrzej Piechowicz, Julia Plewa, Marek Powroznik, Michał Śledź, A. Byrski, Marcin Kurdziel, Wojciech Turek","doi":"10.1145/3365921.3365924","DOIUrl":"https://doi.org/10.1145/3365921.3365924","url":null,"abstract":"Recently there has been an increasing interest in telematics solutions for vehicles. These systems provide real-time danger detection, driving style evaluation or crash detection services. The provided information can significantly increase driving safety, help to improve driving style, support rescue operations and enable better-informed insurance pricing. While recently introduced vehicles often provide inbuilt telematics systems, older cars usually lack such functionalities. One option to remedy this issue is to develop telematics solutions that are based on sensors other than the original car equipment. In this paper we present our telematics solution that employs smartphone sensors. This research stems from our previous work on crash detection which we substantially expanded towards a system for automatic profiling of driving style, detection of driving anomalies, and community-based identification of dangerous places on public roads. We describe our approach to the processing of sensor data, driving profile construction, anomaly detection, and interaction with the driver, illustrating these aspects with selected tangible results.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121444005","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}
{"title":"Mitigating Messaging and Processing Load in IoT Environments Managed by Blockchain","authors":"Johannes Mittendorfer, K. Hummel","doi":"10.1145/3365921.3365949","DOIUrl":"https://doi.org/10.1145/3365921.3365949","url":null,"abstract":"We study the use of Blockchain in an Internet of Things (IoT) environment where microservices are provided by sensors. Blockchain assures secure and trustworthy transactions, yet it causes high load caused by block creation on the numerous IoT nodes. To mitigate the load, sensor nodes are clustered and block creation is restricted to IoT cluster managers in the distributed Blockchain ledger. The concept is exemplified by a use case describing a neighborhood of smart homes that are equipped with environmental sensors such as dust, temperature, and precipitation sensors. We provide an implementation of the Blockchain IoT system comprising two consensus algorithms, Proof of Work (PoW) and Proof of Stake (PoS). By means of simulations conducted in Mininet, we derive first results which reveal that -- depending on the sensor polling period -- the service response time can be reduced by clustering. Further, clustering reduces PoW conflicts to about 30% due to creating fewer blocks.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131629636","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}
{"title":"Gateways to Heaven: Observations and Predictions on the Software Architecture of IoT Gateways","authors":"A. Taivalsaari, T. Mikkonen","doi":"10.1145/3365921.3365930","DOIUrl":"https://doi.org/10.1145/3365921.3365930","url":null,"abstract":"The Internet of Things (IoT) enables connected devices that are an integral part of the physical world. The possibility to connect, manage, configure and dynamically reprogram remote devices through local and global cloud environments will open up a broad variety of new use cases, services, applications and device categories, and will enable entirely new product and application ecosystems as well. In this paper we discuss the software architecture options of IoT gateways as a follow-up to our earlier paper that defined a taxonomy of software architectures for IoT devices. We summarize several different software architecture options for IoT gateways. These options have a significant impact on the overall end-to-end architecture and topology of IoT systems, e.g., in determining how much computation can be performed on the edge of the network. Based on our observations and industry experiences we then make predictions on the future of gateway solutions and IoT systems more broadly.","PeriodicalId":162326,"journal":{"name":"Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133820518","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}