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    https://mobile-systems.cl.cam.ac.uk/papers/tkde99.pdf
    4 Mar 2008: Modern development processes areenacted by teams of people that cooperate, interact, anddiscuss. ... Secondly, the LaTeXformat is alien to the available SGML-based formatssuggested for the WWW: In fact, writing Z schemas inLaTeX requires a different
  3. Results that match 1 of 2 words

  4. People

    https://mobile-systems.cl.cam.ac.uk/people.html
    17 May 2024: University of Cambridge. Mobile Systems Research Lab. Principal Investigator. Cecilia Mascolo. Professor of Mobile Systems. PhD Students. Erika Bondareva. Kayla-Jade Butkow. Jake Stuchbury-Wass. Sotirios Vavaroutas. Yuwei (Evelyn) Zhang.
  5. Mobile Systems Lab

    https://mobile-systems.cl.cam.ac.uk/
    16 Feb 2024: University of Cambridge. Mobile Systems Research Lab. Earable Research. Members' Picture. Respiratory Disease Progression Monitoring through Audio. The Mobile Systems Research Lab concentrates on aspects related to the efficient and effective use of
  6. Publications

    https://mobile-systems.cl.cam.ac.uk/seminars.html
    24 Jun 2024: University of Cambridge. Mobile Systems Research Lab. The Mobile Systems Research Lab organises the Mobile and Wearable Health Seminar Series with invited speakers on selected topics of broad interest. These seminars are open for attendance to
  7. Publications

    https://mobile-systems.cl.cam.ac.uk/publications.html
    17 May 2024: The feasibility of PAM intervention to support treatment adherence in people with hypertension in primary care. ... Putting Mood in Context: Using Smartphones to Examine How People Feel in Different Locations.
  8. Opportunities for Smartphones in Clinical Care: The Future of ...

    https://mobile-systems.cl.cam.ac.uk/papers/JCP15.pdf
    24 Sep 2015: Every day, people are reliant on smartphones to stay connected, organized and entertained. ... can generate. If, for example, people find the momentary assessments too long, the frequency of.
  9. Detecting Foot Strikes during Running with Earbuds

    https://mobile-systems.cl.cam.ac.uk/papers/bodysys24-dong.pdf
    2 May 2024: acrossthe whole body, while different people might have distinctskeletons, leading to a unique modulation on the gait signals;2) different subjects might perform the three gait types inslightly different ways, resulting
  10. Experience in deploying wearable devices for office analytics

    https://mobile-systems.cl.cam.ac.uk/papers/cscw16.pdf
    29 Mar 2016: The company employs more than35 people of which we recruited 25 participants for a pe-riod of four weeks. ... Dimensions. of employee privacy: an empirical study. InformationTechnology & People 25, 4 (2012), 376–394.
  11. Surveying Areas in Developing Regions Through Context Aware Drone…

    https://mobile-systems.cl.cam.ac.uk/papers/dronenets18.pdf
    10 May 2018: Specifically, theUAV will detect and locate people or cattle present on the groundusing deep learning techniques. ... After manual removal of incorrect samples,the dataset contained 4809 images. For the class people, the UAV123dataset [14], was used.
  12. Head Motion Tracking Through in-Ear Wearables

    https://mobile-systems.cl.cam.ac.uk/papers/earcomp19.pdf
    11 Sep 2019: 1 INTRODUCTIONAs of 2019, more than 466 million people are suffering fromhearing impairments1[1]. ... By 2050, the World Health Organi-zation forecasts that over 900 million people will be affectedby hearing disabilities [1].
  13. Predicting the Spatio-Temporal Evolution of Chronic Diseases in…

    https://mobile-systems.cl.cam.ac.uk/papers/ijcai18.pdf
    10 May 2018: Therefore, we focus on how people’s lifestylesmay influence the development of these chronic diseases. ... Palliative care4 is aspecialized medical care for people with life-threatening ill-ness.
  14. Where Online Friends Meet: Social Communities in Location-based…

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm12poster.pdf
    13 Mar 2012: IntroductionMillions of people now interact with their friends online us-ing social networking services. ... Theprobability of friendship quickly decreases with increas-ing spatial distance between people (Stewart 1941).
  15. Discovering Latent Patterns of Urban Cultural Interactions in WeChat…

    https://mobile-systems.cl.cam.ac.uk/papers/kdd18.pdf
    18 Jun 2018: Theseoutputs as a whole tell us which group of people prefer to do whattype of cultural activities at what time. ... We canobserve that pattern one is composed of people who love travel-ling and prefer wide open space.
  16. Trust and Mobility Aware Service Provision forPervasive Computing…

    https://mobile-systems.cl.cam.ac.uk/papers/trustmob.pdf
    29 Feb 2008: An extremely large percentage of people already possesses devicessuch as portable music players and mobile phones. ... 1 This is also true for people in coffee shops as indicated by [4].
  17. Leveraging mobility flows from location technology platforms to test…

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm20.pdf
    16 Apr 2020: Ac-cording to this theory, people pursue a variety of recur-rent activities – such as working or shopping – at differentlocations, which are called routine activity nodes. ... crime. However, self-loop flow,where people wander from one venue to
  18. Demo Abstract: Data Collection in Delay TolerantMobile Sensor…

    https://mobile-systems.cl.cam.ac.uk/papers/sensys06.pdf
    29 Feb 2008: Figure 1: Demonstration Topology. • 5 T-Motes Skys attached to people or on Lego Mind-Storms; these will represent the mobile carriers.
  19. nips2009.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/nips2009.pdf
    4 Dec 2011: the attendees. People wearing tags were tracked for the course of three days. ... RFIDand expressed interests were usedby the organizers of the conference to help people in networking.
  20. ICGes v1

    https://mobile-systems.cl.cam.ac.uk/papers/icges.pdf
    29 Feb 2008: In security, the focus. tends to be on people who want to abuse the. ... participation of these groups of people: the. decision makers – who are better suited to.
  21. An Ad Hoc Mobility Model Foundedon Social Network Theory ...

    https://mobile-systems.cl.cam.ac.uk/papers/mswim04.pdf
    29 Feb 2008: In this case, interactions aresaid to be direct if they take place between people who arecolocated. ... Inother words, we consider only the people who have a signifi-cant social relationship with person i.
  22. SIGCHI Conference Proceedings Format

    https://mobile-systems.cl.cam.ac.uk/papers/www17.pdf
    17 Feb 2017: Although mental health problems are widespread, asubstantial percentage of people do not receive treatment. ... Over 40, 000 people downloaded the applica-tion after a successful media campaign.
  23. Analysing Information Flows and Key Mediatorsthrough Temporal…

    https://mobile-systems.cl.cam.ac.uk/papers/sns10.pdf
    29 Mar 2010: We find that temporal analysis provides a betterunderstanding of dynamic processes and a more accurateidentification of important people compared to traditionalstatic methods. ... Instead for both betweenness andcloseness centrality, static analysis has
  24. Mobile Health with Head-Worn Devices: Challenges and Opportunities

    https://mobile-systems.cl.cam.ac.uk/papers/earable-survey22.pdf
    5 Sep 2022: Opportunity: Unconventional UIs. One of the factorsthat affects user experience is the way people interact withthe head-worn devices. ... Therefore, there is anurgent need for techniques to anonymize the identity or evenconceal facial characteristics of
  25. Earbuds_Percom21 (1)

    https://mobile-systems.cl.cam.ac.uk/papers/percom21.pdf
    30 Apr 2021: This is further borne out by thehigh average number of daily interaction people have withtheir mobile phones [20]. ... A number of factorscan invalid the calibration of a magnetometer, such as theenvironment, the temperature, and the number of people ina
  26. Measuring Urban Social Diversity Using Interconnected Geo-Social…

    https://mobile-systems.cl.cam.ac.uk/papers/www2016.pdf
    1 Feb 2016: 5.3 Geo-social InteractionThe interaction between people and places in our dataset is repre-. ... 6.1 Brokerage Role of PlacesOne of the fundamental social roles of places is to bring people.
  27. EmotionSense: A Mobile Phones based Adaptive Platform for…

    https://mobile-systems.cl.cam.ac.uk/papers/Ubicomp10.pdf
    29 Jun 2010: However, these techniquesmay lead to biased results since people are aware of beingconstantly monitored. ... We can infer that people tend to exhibit neutral emo-tions far more than other emotions.
  28. Understanding the Effects of the Neighbourhood Built Environment on…

    https://mobile-systems.cl.cam.ac.uk/papers/www19.pdf
    27 Feb 2019: Does the distribu-tion of people who own pets consistently different in various areas?Systematic ways to answer these types of questions still remainunknown. ... Is it because people with higher SES eathealthily, exercise more often, or smoke less?
  29. aaai17 format (9 March)

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm17poster.pdf
    10 Mar 2017: 2016) discussed the relationship between the prosperity of people and urban places, and distinguished between different categories and urban geographies using Foursquare and Twitter data.
  30. SpotME If You Can: Randomized Responses forLocation Obfuscation on ...

    https://mobile-systems.cl.cam.ac.uk/papers/icdcs2011.pdf
    2 Mar 2011: statistically analyzedto estimate, for example, the actual number of people in agiven location. ... location. Step 2: A service infers number and flow of people fromthe maps.
  31. A Study of Bluetooth Low Energy Performance forHuman Proximity ...

    https://mobile-systems.cl.cam.ac.uk/papers/percom17.pdf
    11 Jan 2017: Our testbed consists of an architecture company (SpacelabLtd.) which employs more than 35 people. ... The largestinteraction captured involved a group of 5 people. B. Proximity Detection Technique.
  32. Writing on the Clean Slate:Implementing a Socially-Aware Protocol in…

    https://mobile-systems.cl.cam.ac.uk/papers/aoc08.pdf
    17 Apr 2008: Furthermore, some of the ad hoc communication tech-nologies, such as Bluetooth and Zigbee, have increased theability of people to interact by following more natural socialpatterns. ... CAR is a natural fit for the Haggle vision,since it exploits
  33. On Nonstationarity of Human Contact NetworksSalvatore Scellato∗,…

    https://mobile-systems.cl.cam.ac.uk/papers/simplex10.pdf
    14 Apr 2010: individuals by assumingthat two people are in contact when they are connected tothe same access point. ... probably because publicaccess points are more likely to register lonely individualsrather than entire groups of people which meet regularly atthe
  34. Exploiting Semantic Annotations for Clustering Geographic Areas and…

    https://mobile-systems.cl.cam.ac.uk/papers/SMW11.pdf
    22 Apr 2011: Home/Work/Other isHome and Parks & Outdoors is Parks). With respect to user and area clustering parallels, there is apattern concerning the appearance of Food lovers for NewYork and Nightlife people
  35. Temporal Distance Metrics for Social Network Analysis John…

    https://mobile-systems.cl.cam.ac.uk/papers/wosn09.pdf
    21 May 2009: From Table 3we can see L for Day 1, if two people started gossiping atthe start of the day, it would take 19 hours to spread to allparticipants. ... Thefact that there are also low C values for each day reiterateshow infrequent groups of people
  36. A Framework for Multi-region Delay Tolerant Networking Mirco…

    https://mobile-systems.cl.cam.ac.uk/papers/winsdr08.pdf
    12 Jul 2008: Sensors are both spread in the environment andattached to people (that may use vehicles) or animals. ... to try to reach all the people through thenetwork infrastructures that are still in place.
  37. An Empirical Study of Geographic User Activity Patterns in ...

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm11poster.pdf
    5 Apr 2011: While people fly from one city to another andcheckin at the corresponding airports, they unfold spatio-temporal connections of larger scales. ... Despite occurring within asmall spatial interval, this may indicate an existence of a lo-cation where people
  38. Socio-spatial Properties of Online Location-based Social Networks

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm11.pdf
    28 Mar 2011: or if, instead,some individuals prefer connecting to people further away,leading to a heterogeneous system. ... As people spend more time online, more and more datawill be available regarding their spatial behavior and theirsocial connections, allowing
  39. What is this place? Inferring place categoriesthrough user patterns…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicase14.pdf
    10 Nov 2014: In this study, weconsider three different category sets that typicallycharacterize people’s everyday life. ... Their system was tested onGPS trajectories of only four people. Chen et al.
  40. wosn04-brown.dvi

    https://mobile-systems.cl.cam.ac.uk/papers/wosn12_brown.pdf
    18 Jun 2012: nities, with people meeting and forming friendships in locationswhere shared activities take place [7]. ... Allmy people right here, right now: management of groupco-presence on a social networking site.
  41. Sense and Sensibility in a Pervasive World Christos Efstratiou1, ...

    https://mobile-systems.cl.cam.ac.uk/papers/pervasive12.pdf
    1 Mar 2012: As itbecame apparent the participants showed a clear interest in people outside their closesocial circle. ... P17:“There might be some use of the desk sensor for people with special needs.
  42. Efficient Node Discovery in Mobile WirelessSensor Networks Vladimir…

    https://mobile-systems.cl.cam.ac.uk/papers/dcoss08.pdf
    4 Apr 2008: The traces werecollected using 96 people carrying Bluetooth mobile phones over a duration of292 days.
  43. Distance Matters: Geo-social Metrics for Online Social Networks…

    https://mobile-systems.cl.cam.ac.uk/papers/wosn2010.pdf
    25 May 2010: We show how these metricsprovide a better understanding of these networks, sincethey take into account geographic properties of thesocial ties across people. ... As location-awareOSNs become more and more popular, there will beeven more data available
  44. YONO: Modeling Multiple Heterogeneous Neural Networks on…

    https://mobile-systems.cl.cam.ac.uk/papers/ipsn22.pdf
    7 Mar 2022: Specifically, we envisage a system powered byMCUs that can recognize users’ voice commands, activities andgestures, identify everyday objects and people, and understandthe surrounding environments: this has the potential to boost theutilization
  45. OESense: Employing Occlusion Effect for In-ear Human Sensing

    https://mobile-systems.cl.cam.ac.uk/papers/mobisys21.pdf
    25 May 2021: And people chew gumin distinct ways, such as slow/fast chewing and gentle/ravenouschewing. ... Given that people havedifferent head size, skull structure, and tissue composition, it isexpected that the model trained on one subject could not be fittedto
  46. 2 PERVASIVE computing Published by the IEEE CS n ...

    https://mobile-systems.cl.cam.ac.uk/papers/ieeepervasive2013.pdf
    12 Jun 2013: strong urge to smoke when stressed, when with certain people, or at specific locations. ... pabilities in individuals’ pockets than computers of decades. past placed on peoples’ desktops.
  47. Designing Mobility Models basedon Social Networks Theory Mirco…

    https://mobile-systems.cl.cam.ac.uk/papers/mc2r07.pdf
    29 Feb 2008: Ourobservation here is that people with strong sociallinks are likely to be geographically colocated of-ten or from time to time. • ... We model the degree of social interaction be-tween two people using a value in the range [0, 1].
  48. METIS: Exploring mobile phone sensing offloading for efficiently…

    https://mobile-systems.cl.cam.ac.uk/papers/percom2013.pdf
    24 Jan 2013: We investigated the impact of user mobility looking atscenarios with different average times that people spent ina given location. ... We plan to extendthe system by supporting additional sensing modalities andalso enhance the application to recommend
  49. Distances

    https://mobile-systems.cl.cam.ac.uk/papers/icwsm12full.pdf
    13 Mar 2012: people to interactregardless of where they are located, the costs imposed bygeographic distances might be vanishing. ... spaceand tie strength when people create these chains is ex-tremely strong, as seen also in many offline and online net-works (Dodds,
  50. A Community Based Mobility Modelfor Ad Hoc Network Research ...

    https://mobile-systems.cl.cam.ac.uk/papers/realman06.pdf
    29 Feb 2008: Wemodel the degree of social interaction between two people usinga value in the range [0, 1]. ... The Interaction Matrix (and, consequently, the Con-1Let us consider a family of three people, with one child.
  51. The RUNES Middleware: A ReconfigurableComponent-based Approach to…

    https://mobile-systems.cl.cam.ac.uk/papers/pimrc05.pdf
    29 Feb 2008: United Kingdoms.zachariadis@cs.ucl.ac.uk. I. INTRODUCTION. Miniature computing devices are being embedded in anincreasing range of objects around us including home ap-pliances, cars, buildings, and people.
  52. Media Sharing based on Colocation Predictionin Urban Transport Liam…

    https://mobile-systems.cl.cam.ac.uk/papers/mobicom08.pdf
    14 Jul 2008: 5.1.3 Passenger colocationThe data set only records when/where people entered and. ... This assumes people leave the system soon aftertheir train arrives at their final stop.

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