iPhone: Smarter Than the Average Phone
Abstract
This column provides a synopsis of the iPhone and describes key features that have allowed it to redefine what it means to be a modern smart device. In particular, the description is put in the context of pervasive computing, and the author presents a review of his top five iPhone apps. These highlight how the App Store has allowed programmers to test and distribute many concepts originating from pervasive computing research.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There has been a great deal of work toward integrating wearable technologies and communication as well as data analysis technologies to achieve remote monitoring of individuals in home and community settings.
“Consequently, we have witnessed a great deal of work toward the integration of wearable technologies and communication [16] as well as data analysis technologies so that the goal of remote monitoring individuals in the home and community settings could be achieved.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [16]
Cited by
Sorted by citations
A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396 · see citing works
Recent Advances in Wearable Sensors for Health Monitoring
Rodgers, M. M., Pai, V. M., & Conroy, R. S. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2357257 · Cited by 325 · see citing works
A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L. E., & Rodgers, M. M. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 148 · see citing works
Survey and analysis of current mobile learning applications and technologies
Pereira, O. R. E., & Rodrigues, J. J. P. C. (2013) · ACM Computing Surveys · doi:10.1145/2543581.2543594 · Cited by 97 · see citing works
Kim, J., Huo, X., Minocha, J., Holbrook, J. S., Laumann, A. E., & Ghovanloo, M. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2194713 · Cited by 64 · see citing works
Prakashan, D., Ramya, P. R., & Gandhi, S. (2023) · Diagnostics · doi:10.3390/diagnostics13050916 · Cited by 44 · see citing works
Monitoring physical activity and energy expenditure with smartphones
de Aguiar, B. G. M., da Silva, J. K. A., Rocha, T., Carneiro, S., & Sousa, I. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864451 · Cited by 40 · see citing works
Finkelstein, A., Harman, M., Jia, Y., et al. (2014) · Cited by 35 · see citing works
Generic framework for mobile application development
Sambasivan, D., John, N. M., Udayakumar, S., et al. (2011) · Asian Himalayas International Conference on Internet · doi:10.1109/ahici.2011.6113938 · Cited by 24 · see citing works
Wearable sensors and patient monitoring system: A Review
Deshmukh, S. D., & Shilaskar, S. (2015) · doi:10.1109/pervasive.2015.7086982 · Cited by 23 · see citing works
Smartphone Feedback: Using an iPhone to Improve the Distribution of Audio Feedback
Nortcliffe, A., & Middleton, A. (2011) · International Journal of Electrical Engineering Education · doi:10.7227/ijeee.48.3.6 · Cited by 21 · see citing works
Controlling a robotic fish with a smart phone
Abaid, N., Bernhardt, J., Frank, J. A., et al. (2013) · Mechatronics · doi:10.1016/j.mechatronics.2013.03.010 · Cited by 19 · see citing works
Augmenting Initiative Game Worlds with Mobile Digital Devices
Hildmann, J., & Hildmann, H. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2161-9_8 · Cited by 13 · see citing works
A Formalism to Define, Assess and Evaluate Player Behaviour in Mobile Device Based Serious Games
Hildmann, H., & Hildmann, J. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2161-9_6 · Cited by 11 · see citing works
The Design and Implementation of Messenger Authentication Protocol to Prevent Smart Phone Phishing
Yu, B.-S., & Yun, S.-H. (2011) · Journal of the Korean Chemical Society · doi:10.15207/jkcs.2011.2.4.009 · Cited by 8 · see citing works
Silent broadcast: Experience of connectionless messaging Using Wi-Fi P2P
Yun, M., Kim, D., Lee, H., et al. (2012) · International Conference on Information Science and Digital Content Technology · Cited by 6 · see citing works
A graphical user interface for tele-operated robotic sample acquisition
Desai, K., Liu, Y., & Liu, G. (2012) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2012.6283422 · Cited by 5 · see citing works
The Biometric based Mobile ID and Its Application to Electronic Voting
Yun, S.-H., & Lim, H. S. (2013) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2013.01.011 · Cited by 5 · see citing works
The Biometric Signature Delegation Method with Undeniable Property
Yun, S.-H. (2014) · Journal of Digital Convergence · doi:10.14400/jdpm.2014.12.1.389 · Cited by 4 · see citing works
The Method of Digital Copyright Authentication for Contents of Collective Intelligence
Yun, S.-H., Lee, K., Lim, H., et al. (2015) · 한국융합학회논문지 · doi:10.15207/jkcs.2015.6.6.185 · Cited by 4 · see citing works
IPHONE AND IPAD APPLICATIONS: PERCEPTIONS OF USE IN AN ORGANIZATION'S SUPPLY CHAIN
(2011) · Issues in Information Systems · doi:10.48009/1_iis_2011_170-180 · Cited by 4 · see citing works
Yun, S.-H., Lim, H., & Chung, K. (2014) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-014-0278-y · Cited by 3 · see citing works
Towards natural interfaces to interact with physical systems using smart mobile devices
Frank, J. A., & Kapila, V. (2014) · Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · doi:10.1109/iecon.2014.7048850 · Cited by 3 · see citing works
Mobile DNUN: Danger Notification and User Navigation
Nalla, K. R., & El‐Ocla, H. (2017) · IT Professional · doi:10.1109/mitp.2017.12 · Cited by 3 · see citing works
Anwander, M., Braun, T. I., Hurni, P., et al. (2013) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan2010109 · Cited by 2 · see citing works
iPhone App: Lecturer's Room Finder, UUM-CAS
Khunsri, C. (2011) · UUM Electronic Theses and Dissertation [eTheses] (Northern University of Malaysia)
Ekman, C. J., & Martinsson, J. (2014) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
The Server based Realtime Biometric Signature Scheme
Yun, S.-H. (2013) · Journal of Digital Convergence · doi:10.14400/jdpm.2013.11.9.173
The Dynamic Group Authentication Scheme for P2P Based Mobile Commerce
Yun, S.-H., & Lim, H. (2014) · Lecture notes in electrical engineering · doi:10.1007/978-3-662-45402-2_143
Naeemah, A. J. (2015) · OhioLink ETD Center (Ohio Library and Information Network)
Yun, S.-H. (2014)
Grier, D. A. (2021) · Computer · doi:10.1109/mc.2021.3055878
윤성현 (2013)
Abdullah, M., Daril, M. A. M., Wahab, M. I. B. A., et al. (2021) · International Journal of Interactive Mobile Technologies (iJIM) · doi:10.3991/ijim.v15i18.24731
The Mobile ID Based Biometric Undeniable Signature Scheme
Yun, S.-H. (2011) · Communications in computer and information science · doi:10.1007/978-3-642-22309-9_48
- Authors
- Want, R.
- Affiliations
- Intel (United States) (US)
- Corresponding author
- Want, Roy
- Venue
- IEEE Pervasive Computing
- Published
- 2010-07
- Volume
- 9
- Issue
- 3
- Pages
- 6-9
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W2079272830
- Cited by
- 38
- References
- 0
- Citations by year
- 2023: 1 · 2021: 4 · 2020: 1 · 2017: 1 · 2015: 3 · 2014: 9 · 2013: 6 · 2012: 4
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Pervasive Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Keywords
- iPhone, smart devices, ubiquitous computing, iOS app, App Store, mobile computing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
