This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …

The fiber Bragg grating (FBG) sensors, which have unique advantages such as small size,
biocompatibility, and high sensitivity, have received much attention in hand motion tracking …

Gestural interaction with freehands and while grasping an everyday object enables always-
available input. To sense such gestures, minimal instrumentation of the user's hand is …

Accurate tracking of the hands and fingers allows users to employ natural gestures in
various interactive applications. Hand tracking also supports health applications, such as …

Proper stroke posture and rhythm are crucial for kayakers to achieve perfect performance
and avoid the occurrence of sport injuries. The traditional video-based analysis method has …

Inertial Measurement Units (IMUs) are used to track the motion of kinematic chains in a wide
variety of robotic and biomedical applications. However, inertial motion tracking is severely …

The inertial sensor motion capture system has significant advantages over the classical
optical motion capture system, including its high versatility, portability, and affordability …

Inertial motion capture relies on accurate sensor-to-segment calibration. When two
segments are connected by a hinge joint, for example in human knee or finger joints as well …

Hand-finger motion tracking based on inertial and magnetic measurement units (IMMUs)
has become a well-accepted method in many applications such as rehabilitation and virtual …

A human gesture prediction system can be used to estimate human gestures in advance of
the actual action to reduce delays in interactive systems. Hand gestures are particularly …