Motion capture from sparse inertial sensors has shown great potential compared to image-
based approaches since occlusions do not lead to a reduced tracking quality and the …

Motion capture is facing some new possibilities brought by the inertial sensing technologies
which do not suffer from occlusion or wide-range recordings as vision-based solutions do …

Human and environment sensing are two important topics in Computer Vision and Graphics.
Human motion is often captured by inertial sensors, while the environment is mostly …

This paper aims to track the 3D posture of the entire arm-both wrist and elbow-using the
motion and magnetic sensors on smartwatches. We do not intend to employ machine …

WiFi human sensing has become increasingly attractive in enabling emerging human-
computer interaction applications. The corresponding technique has gradually evolved from …

Abnormal running kinematics are associated with an increased incidence of lower extremity
injuries among runners. Accurate and unobtrusive running kinematic measurement plays an …

This 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 …

Replicating a user's pose from only wearable sensors is important for many AR/VR
applications. Most existing methods for motion tracking avoid environment interaction apart …

This paper presents WR-Hand, a wearable-based system tracking 3D hand pose of 14 hand
skeleton points over time using Electromyography (EMG) and gyroscope sensor data from …

We present EgoHDM, an online egocentric-inertial human motion capture (mocap),
localization, and dense map** system. Our system uses 6 inertial measurement units …