2022 Proceeding- Program Chairs:
- Ashwin Ashok,
- Parama Pal,
- Sofia Scataglini,
- Parama Pal,
- Publications Chair:
- Aylmer Britto
- Sponsor:
- sigmobile
BodySys workshop focuses on advances and discussions on how body-centric (human/animals) computing technologies can shape mobile computing, systems, and applications research. The goal of the workshop is to provide a forum to bring together researchers and de-sign experts to discuss how wearable, body-centric, and user-in-the-loop technologies have, and can, complement mobile systems research, and vice-versa. It also aims to provide a launchpad for bold and visionary ideas for systems research in this space.
Proceeding Downloads
PetTrack: Tracking Pet Location and Activity Indoors
Tracking a pet’s location and activity indoors is of acute interest to pet owners who want to feel connected to their pet as well as of interest to pet owners who feel concerned about their pet’s well-being. Today, such tracking is performed using pet ...
Enabling Body-Centric Computing Applications with LED-to-Camera Communication
Advances in Visible Light Communication are enabling novel Internet of Things applications. Going forward, we expect that LED-to-Camera links will enable a wide range of body-centric computing applications. Up until now, most LED-to-Camera studies have ...
Plantar Biometrics for Edge Computing
Biometric systems are getting integrated into our daily life as the needs for authentication are increased rapidly. In smartphones fingerprint and face identification are used already widely as a method for user authentication. A relatively novel area ...
FinePose: Fine-Grained Postural Muscle Profiling via Haptic Vibration Signals
As people’s lifestyles becomes more sedentary, neck and back pain among young adults have increased. Those who spend a significant amount of time looking at digital screens (e.g., computers, tablets, smartphones) tend to assume forward head postures (...
Index Terms
- Proceedings of the 2022 Workshop on Body-centric Computing Systems
Recommendations
Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| BodySys '23 | 6 | 5 | 83% |
| BodySys '22 | 5 | 4 | 80% |
| Overall | 11 | 9 | 82% |