The squat is a multi-joint exercise widely used for everyday at-home fitness. Focusing on the
fine-grained classification of squat motions, we propose a smartwatch-based wearable …

Generally, people do various things while walking. For example, people frequently walk
while looking at their smartphones. Sometimes we walk differently than usual; for example …

Sensing performance of capacitive touch sensor is significantly degraded in electronically
harsh environments, for example, underwater. In particular, a capacitive touch sensor used …

People who exercise may benefit or be injured depending on their foot striking (FS) style. In
this study, we propose an intelligent system that can recognize subtle differences in FS …

Humans excel at determining the shape and material of objects through touch. Drawing
inspiration from this ability, we propose a robotic system that incorporates haptic sensing …

Advances in wearable and machine learning technologies have caused smartwatches to
emerge as promising input devices across disciplines. In this study, we propose a user …

Automatic classification is one of the hot topics in the field of information retrieval and natural
language processing, but it still faces many problems to be solved. The classic automated …

Disease symptoms often contain features that are not routinely recognized by patients but
can be identified through indirect inspection or diagnosis by medical professionals …

In recent years, many industrialfacilities have been required to install sensing system to
monitor the health status of the equipment. Although the PC-based diagnosis system is a …

The tiny machine learning (TinyML) has been considered to apply on the edge devices
where the resource-constrained micro-controller units (MCUs) were used. Finding a good …