2016 Proceeding- Program Chairs:
- Tam Vu,
- Alanson Sample,
- Ashwin Ashok
It is our great pleasure to welcome you to the 2016 ACM Workshop on Wearable Systems and Applications -- WearSys 2016. The WearSys workshop is inspired by the fact that wearables are spearheading advancements in technology through inter-disciplinary research among a broad spectrum of disciplines such as mobile wireless, health, fashion, energy, just to name a few. The 2nd ACM Workshop on wearable systems and applications, WearSys2016, is focused on how wearable technologies can shape mobile computing, systems and applications research. The goal of this workshop is to provide a forum to bring together researchers and design experts to discuss how wearable technologies have, and can, complement mobile systems research, and vice-versa. It also aims to provide a launchpad for bold and visionary ideas for wearable systems research.
The call for papers attracted a total of 9 submissions from all over the world. The program committee reviewed and accepted 5 full papers. The reviewing process was single-blind (the reviewers' identity withheld from authors).
The workshop will also include a keynote and feature invited talks from personnel from academia as well as industry. We also encourage attendees to attend the panel session that will feature eminent academic and industry personalities working in diverse areas.
Proceeding Downloads
MiHub: Wearable Management for IoT
The availability of Internet of Things (IoT)-enabled devices has resulted in a rapid increase in the number of devices a user carries with them. To support the collection of data from the set of a user's devices as well as interact with the environment ...
CryptoCoP: Lightweight, Energy-efficient Encryption and Privacy for Wearable Devices
As people use and interact with more and more wearables and IoT-enabled devices, their private information is being exposed without any privacy protections. However, the limited capabilities of IoT devices makes implementing robust privacy protections ...
Wireless Smartphone Keyboard for Visually Challenged Users
A Smartphone is a combination of a cell phone, a personal digital assistant (PDA), a media player, a GPS navigation unit and much more. To a blind and visually impaired (BVI) user, a Smartphone can assist and help connect with our modern day cyber ...
In-ear Biosignal Recording System: A Wearable For Automatic Whole-night Sleep Staging
- Anh Nguyen,
- Raghda Alqurashi,
- Zohreh Raghebi,
- Farnoush Banaei-kashani,
- Ann C. Halbower,
- Thang Dinh,
- Tam Vu
In this work, we present a low-cost and light-weight wearable sensing system that can monitor bioelectrical signals generated by electrically active tissues across the brain, the eyes, and the facial muscles from inside human ears. Our work presents two ...
DeepSense: A GPU-based Deep Convolutional Neural Network Framework on Commodity Mobile Devices
Recently, a branch of machine learning algorithms called deep learning gained huge attention to boost up accuracy of a variety of sensing applications. However, execution of deep learning algorithm such as convolutional neural network on mobile ...
Index Terms
- Proceedings of the 2016 Workshop on Wearable Systems and Applications
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| WearSys '17 | 9 | 9 | 100% |
| WearSys '16 | 9 | 5 | 56% |
| WearSys '15 | 18 | 14 | 78% |
| Overall | 36 | 28 | 78% |