Third International Workshop on Sensing Applications on Mobile Phones
at ACM SenSys 2012
November 6, 2012
25 July 2012, 9:00 p.m. PDT 1 August 2012, 9:00 p.m. PDT (EXTENSION)
Notification of Acceptance:
September 12, 2012
Camera Ready due:
October 5, 2012
Update: Proceedings appear in the ACM Digital Library.
Update: Keynote by Dr. Jie Liu, Principal Researcher and manager of the Sensing and Energy Research Group at Microsoft Research.
Update: Panel Discussion with Mobile Sensing Experts: Dr. Emiliano Miluzzo (AT&T Research), Dr. Jie Liu (Microsoft Research) and Professor Junehwa Song (KAIST).
Update: Program is available.
New This Year: Papers will be published in the ACM Digital Library proceedings.
Mobile phones provide a widespread platform for deploying sensing applications. Multiple factors, including the large number of sensors available on phones with new ones being introduced in newer models, proximity to user’s immediate environment, broadband connectivity, and the potential to provide actionable information, make the phone a compelling platform for many sensing applications. The emergence of the mobile computing cloud further expands the scope of possible use cases. Sensing applications can use the mobile phones and cloud resources to sense, mine, and learn human behaviors and intentions to provide personalized feedback and persuasion. Example sensing application domains include personalized mobile information delivery, context aware social networking, healthcare, games and entertainment, education, device and environment customization, safety, and mobile business.
The efficient and effective design of mobile sensing applications opens up many interesting technical challenges. The PhoneSense workshop promotes exchange of ideas among academic and industrial researchers in research areas such as sensing, mobile computing, location, energy efficiency, data management, data mining, machine learning, inference, privacy, user incentives and applications.
The workshop considers hot topics, position papers, novel ideas, in-progress work on system architecture, enabling technologies, and emerging applications. Topics of interest include, but are not limited to:
- Novel Applications
- Mining large scale sensor and location data
- Mobile cloud and sensing interfaces
- Incentive models for mobile data collection
- Interaction between phones and humans
- Novel mobile sensor accessories
- Sensing and machine learning techniques
- Persuasion models and techniques to close the loop with users
- Participatory sensing, crowdsourcing, and opportunistic sensing paradigms
- Activity recognition and subjective sensing
- Programming models
- Experiment and campaign design
- Integration of on-phone and off-phone sensing
- Personalization, geo-targeting
- Personal health monitoring using mobile phones
- Data quality issues
- Experience with app store delivery systems and large scale deployment