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- research-articleJanuary 2023
Real-Time Tracking of Smartwatch Orientation and Location by Multitask Learning
SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor SystemsPages 120–133https://doi.org/10.1145/3560905.3568548Arm posture tracking is essential for many applications, such as gesture recognition, fitness training, and motion-based controls. Smartwatches with Inertial Measurement Unit (IMU) sensors (i.e., accelerometer, gyroscope, and magnetometer) provide a ...
- demonstrationJanuary 2023
Real-Time Tracking of Smartwatch Orientation and Location by Multitask Learning
SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor SystemsPages 780–781https://doi.org/10.1145/3560905.3568096In this demo, we present RTAT, a real-time arm tracking system that tracks both orientation and location of a smartwatch simultaneously by a multitask learning neural network. We incorporate an attention layer and design a dedicated loss for the ...
- posterJune 2019
When Wearable Sensing Meets Arm Tracking (poster)
MobiSys '19: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and ServicesPages 518–519https://doi.org/10.1145/3307334.3328603In this poster, we present our recent work, a wearable system for achieving real-time 3D arm skeleton. We have coped with the major challenge that the skeleton of each arm is determined from the locations of the elbow and wrist, whereas a wearable ...
- research-articleJune 2019
Real-time Arm Skeleton Tracking and Gesture Inference Tolerant to Missing Wearable Sensors
MobiSys '19: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and ServicesPages 287–299https://doi.org/10.1145/3307334.3326109This paper presents ArmTroi, a wearable system for understanding and analyzing the detailed arm motions of people primarily by using the motion sensors from wrist-worn wearable devices. ArmTroi can achieve real-time 3D arm skeleton tracking and reliable ...