Netzahualcóyotl Hernández, F. Cruciani, J. Favela, I. McChesney, Shuai Zhang, C. Nugent, I. Cleland
{"title":"Preliminary evaluation of a self-management health app by people with cognitive impairment","authors":"Netzahualcóyotl Hernández, F. Cruciani, J. Favela, I. McChesney, Shuai Zhang, C. Nugent, I. Cleland","doi":"10.1109/PERCOMW.2019.8730755","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730755","url":null,"abstract":"Cognitive impairment is associated with increased risk of disability, increased health care costs and potential progression to dementia. An emerging approach to counteract the impact of cognitive impairment is to empower patients with the appropriate tools to effectively manage their own condition. In this work we evaluate the use of KeepWell, a self-management smartphone application developed to assist people with early cognitive impairment to live independently. KeepWell provides services such as reminders, surveys, and educational information that allows users to set physical goals and monitor their physical performance. Participants involved in the evaluation of adoption and usability consisted of individuals diagnosed with early cognitive impairment. A qualitative and quantitative analysis was conducted with 5 and 2 such individuals respectively. Data was codified using grounded theory and affinity diagramming. The findings from the work have resulted in the development of a set of recommendations for the design of self-management mobile applications.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133340682","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}
M. Rahaman, Harsh Pare, J. Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, T. Rawling, Alexandra Sinickas
{"title":"OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace","authors":"M. Rahaman, Harsh Pare, J. Liono, Flora D. Salim, Yongli Ren, Jeffrey Chan, Shaw Kudo, T. Rawling, Alexandra Sinickas","doi":"10.1109/PERCOMW.2019.8730762","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730762","url":null,"abstract":"Workplace occupancy detection is becoming increasingly important in large Activity Based Work (ABW) environments as it helps building and office management understand the utilisation and potential benefits of shared workplace. However, existing sensor-based technologies detect workstation occupancy in indoor spaces require extensive installation of hardware and maintenance incurring ongoing costs. Moreover, accuracy can depend on the specific seating styles of workers since the sensors are usually placed under the table or overhead. In this research, we provide a robust system called OccuSpace to predict occupancy of different atomic zones in large ABW environments. Unlike fixed sensors, OccuSpace uses statistical features engineered from Received Signal Strength Indicator (RSSI) of Bluetooth card beacons carried by workers while they are within the ABW environment. These features are used to train state-of-the-art machine learning algorithms for prediction task. We setup the experiment by deploying our system in a realworld open office environment. The experimental results show that OccuSpace is able to achieve a high accuracy for workplace occupancy prediction.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114686870","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":"Design Space of Multipurpose Daily Worn Snake-Shaped Robotic Appendages","authors":"Mohammed Al-Sada","doi":"10.1109/PERCOMW.2019.8730745","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730745","url":null,"abstract":"Multipurpose Supernumerary Robotic Limbs (SRLs) are an emerging form of wearable robots that can augment our daily physical and digital interactions. Due to their genericity, designing this form of wearables encompass a number of interweaved challenges within multiple research domains. Therefore, my dissertation's main objective is to contribute with a design space that enables designing and evaluating multipurpose SRLs. I carry out a series of case studies to derive needed design dimensions, with emphasis on designing for multipurpose use, social acceptance, and cohesive user experiences. The design space would structure this domain, enabling future researchers to generate and evaluate new case studies, as well as identifying and addressing challenges to advance this emerging research area.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129576506","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}
G. Lopez, Shohei Abe, Kengo Hashimoto, Anna Yokokubo
{"title":"On-Site Personal Sport Skill Improvement Support Using Only a Smartwatch","authors":"G. Lopez, Shohei Abe, Kengo Hashimoto, Anna Yokokubo","doi":"10.1109/PERCOMW.2019.8730681","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730681","url":null,"abstract":"In recent years, with the widespread use of wearable devices, in the sports field and the like, research and techniques for analyzing the movement are being developed by attaching sensors to a body or a gear and analyzing the movement from the acquired data. However, most of them require dedicated sensors and post-processing by computers. Also, there is nothing to do on the spot to provide feedback for form and skill improvement. In this research, we developed a sports skill improvement support system using smartwatch sensors and feedback screen. We verified whether it can be utilized in everyday life. In order to demonstrate the versatility of sports skill improvement support, we implemented application software targeting two movements, baseball pitching action and tennis' serve action. Designed and implemented so that analysis and feedback can be presented solely by smartwatch worn on the wrist of the dominant arm without having a paired smartphone so that the user can perform the usual operation. As a result of the verification experiments, both average and maximum ball speeds increased for all the subjects with respect to the pitching motion. Concerning serve motion, a significant improvement of the pronation movement capability was observed. These results demonstrate the effectiveness of smartwatches as an individual skill improvement support system in sports where arm movement is greatly related to skills.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129143884","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}
Abirami Sankara Narayanan, Yang Peng, Brent Lagesse
{"title":"iService: A Cloud-Based Scheduling Service for Efficient Usage of IoT Resources","authors":"Abirami Sankara Narayanan, Yang Peng, Brent Lagesse","doi":"10.1109/PERCOMW.2019.8730800","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730800","url":null,"abstract":"With the proliferation of the Internet of Things (IoT), numerous IoT devices have been deployed in various living spaces such as university campuses, community centers, offices and homes. Users of IoT services are more and more willing to explore and directly interact with interested devices over mobile or web applications. However, there is a lack of online service that can efficiently schedule requests issued by various IoT users to distributed IoT devices. Efficient, cost-effective scheduling is critical to the user experience in a smart living space. In this paper, we propose iService, a cloud-based scheduling service for efficient usage of IoT resources given IoT-specific factors, such as device location, sensing capability, and energy cost. In our solution, the essential scheduling problem has been formulated as a mixed integer nonlinear programming (MINLP) problem. To efficiently address this problem in an online fashion, iService has been implemented using multiple AWS technologies. Via extensive experiments, the effectiveness of iService has been demonstrated under different request patterns and system parameters. From these experiments, we conclude that iService can improve the quality of service to the user and thus their quality of life within a pervasive living space.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130457840","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}
Emyo Fujioka, Genki Nakai, D. Fukui, K. Yoda, S. Hiryu
{"title":"Investigation of Large-Scale Navigation Behavior of Echolocating Bats During Natural Foraging, Using GPS and Acoustic-GPS Data-Loggers","authors":"Emyo Fujioka, Genki Nakai, D. Fukui, K. Yoda, S. Hiryu","doi":"10.1109/PERCOMW.2019.8730837","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730837","url":null,"abstract":"Large-scale flight paths of echolocating Japanese greater horseshoe bats were measured using GPS and acoustic GPS (A-GPS) data-loggers. The bats flew up to 23.6 km away from their roost at a maximum. The measured flight paths were broadly divided into two patterns; “staying” and “moving”. Almost bats spent over 70% of time staying while changing sites, indicating that the bats repeated to stay and to fly, and spent much time staying. Analysis for the environmental preference revealed that the bats selectively move and stay in the forest and tend to move along the artificial road. These findings by the high-resolution GPS bio-logging suggest that the bats repeat to stop the various area for foraging, by following the artificial forest roads. Furthermore, the collected A-GPS logger showed that more pulse emissions were observed during staying than moving, strongly supporting that the bats search prey insects using sonar while perching on the tree at the stay-site. Further investigation by A-GPS bio-logging would provide valuable information on bat's echolocation and flight strategies during natural foraging in the large-scale space.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124941017","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}
Tristan Fautrel, L. George, Frédéric Fauberteau, T. Grandpierre
{"title":"An hypervisor approach for mixed critical real-time UAV applications","authors":"Tristan Fautrel, L. George, Frédéric Fauberteau, T. Grandpierre","doi":"10.1109/PERCOMW.2019.8730705","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730705","url":null,"abstract":"In the context of smart cities, with important population density, Unmanned Aerial Vehicles (UAV) should be certified for flying. Virtualization techniques allow us to run several applications of different criticalities on the same hardware architecture in a spatially and temporally isolated manner. This makes it possible to adapt the certification cost of an application to its criticality level. We consider the case where each application is composed of a set of sporadic tasks that are executed into a dedicated Virtual Machine (VM). The set of VMs is monitored by a hypervisor that provides them an abstraction of the underlying hardware resources. The use of an hypervisor to isolate the applications hosted into their VMs results in a two-level hierarchical system. The VMs are scheduled at the first level then the tasks of each application are scheduled at the second level. The parameters of the tasks composing the different applications are known a priori and the main contribution of this paper is to provide a sizing method for the VMs. It consists in computing both period and slot duration for each VM such that its assigned tasks are schedulable (satisfy all the deadlines of the tasks).","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125622765","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":"Understanding Usability Challenges in Shifting between Multiple Devices during a Task","authors":"Ngoc Thi Nguyen, Hyowon Lee","doi":"10.1109/PERCOMW.2019.8730756","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730756","url":null,"abstract":"The use of multiple interactive devices in conducting one task is becoming more and more commonplace today. However, as the user interfaces (UIs) and interaction strategies have mostly been designed for individual devices or for a small number of paired devices, spontaneously combining different devices may result in usability issues that are worse than it was before the change takes place. In this paper, we present and demonstrate the concept of device composite – a combination of devices together with a set of suitable user interfaces and interaction strategies which will be activated when these devices are used together. Focusing on the usability side of the multi-device usage scenarios, we categorize the device composites into six basic interaction settings or configurations, and discuss corresponding usability issues associated with them. Two of the composite situations were developed into a fully-working prototype device ecosystem, and a user study was conducted with 18 participants. Findings and insights are reported suggesting further design directions for multi-device usability.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127785365","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}
Kelsey Rook, Brendan Witt, Reynold J. Bailey, Joe Geigel, Peizhao Hu, Ammina Kothari
{"title":"A Study of User Intent in Immersive Smart Spaces","authors":"Kelsey Rook, Brendan Witt, Reynold J. Bailey, Joe Geigel, Peizhao Hu, Ammina Kothari","doi":"10.1109/PERCOMW.2019.8730692","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730692","url":null,"abstract":"Smart spaces are typically augmented with devices capable of sensing various inputs and reacting to them. Data from these devices can be used to support system adaptation, reducing user intervention; however, mapping sensor data to user intent is difficult without a large amount of human-labeled data. We leverage the capabilities of head-mounted immersive technologies to actively capture users' visual attention in a unobtrusive manner. Our contributions are three-fold: (1) we developed a novel prototype that enables studies of user intent in an immersive environment, (2) we conducted a proof-of-concept experiment to capture internal and external state data from smart devices together with head orientation information from participants to approximate their gaze, and (3) we report on both quantitative and qualitative evaluations of the data logs and pre-/post-study survey data using machine learning and statistical analysis techniques. Our results motivate the use of direct user input (e.g. gaze inferred by head orientation) in smart home environments to infer user intent allowing us to train better activity recognition algorithms. In addition, this initial study paves a new way to conduct repeatable experimentation of smart space technologies at a lower cost.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121847102","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}
Mehdi Nobakht, Craig Russell, Wen Hu, A. Seneviratne
{"title":"IoT-NetSec: Policy-Based IoT Network Security Using OpenFlow","authors":"Mehdi Nobakht, Craig Russell, Wen Hu, A. Seneviratne","doi":"10.1109/PERCOMW.2019.8730724","DOIUrl":"https://doi.org/10.1109/PERCOMW.2019.8730724","url":null,"abstract":"The increasingly widespread adoption of the Internet of Things (IoT) has resulted in concerns about IoT security. Recently, there have been proposals to leverage software-defined networking (SDN) to augment IoT device security with network-level measurements. We argue that existing general-purpose security solutions using SDN are impractical for supporting today's home and corporate networks due to the high volume and rates of network traffic, differences in characteristics of IoT systems and computer networks, and limited resources in underlying network switches. To this end we propose IoT-NetSec, a framework that enables policy-based and fine-grained traffic monitoring of the network segments that include only IoT devices. We describe a prototype implementation and its integration with an SDN controller. The prototype implementation and simulations with three network service attacks (port scanning, SYN DoS Flooding and smurf DDoS) demonstrate IoT-NetSec feasibility in a network of real IoT devices.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125423917","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}