Advanced assistive devices developed for activities of daily living use machine learning
(ML) for motion intention detection using wearable sensors. Trunk assistive devices provide …

A robotic gym with multiple rehabilitation robots allows multiple patients to exercise
simultaneously under the supervision of a single therapist. The multi-patient training …

Effective control of rehabilitation robots is of paramount importance and requires increased
attention to achieve a fully reliable, automated system for practical applications. As the …

Personalization of game difficulty is a critical task in leveraging artificial intelligence (AI)
technologies to enhance player engagement in virtual worlds like metaverse. One of the key …

Motor impairment is a common issue in stroke patients, often affecting the upper limbs. To
this standpoint, robotic neurorehabilitation has shown to be highly effective for motor …

Internet of Things (IoT)-based solutions are gaining momentum in delivering efficient
solutions in health care domain, reducing financial and physical burden on patients and …

Objective. Enhancements in the rehabilitation of motor and cognitive functions are
significantly attainable through proactive patient engagement. The difficulty of rehabilitation …

Healthcare systems worldwide face persistent challenges in efficiency, accessibility, and
personalization. Powered by modern AI technologies such as multimodal large language …

With the growth of age, the body function of the elderly continues to decline, so they often
suffer from various diseases, and long-term medication brings many additional diseases. In …

When acquiring a motor skill, learners must practice the skill at a difficulty that is challenging
but still manageable in order to gradually improve their performance. In other words, during …