박신석 교수

Driver assistance systems have become a major safety feature of modern passenger vehicles. The advanced driver assistance system (ADAS) is one of the active safety systems to improve the vehicle control performance and, thus, the safety of the driver and the passengers. To use the ADAS for lane change control, rapid and correct detection of the driver's intention is essential. This study proposes a novel preprocessing algorithm for the ADAS to improve the accuracy in classifying the driver's int

BACKGROUND: While endoscopic skull base surgery (ESBS) has emerged as an alternative surgical option, the limited field of view of the endoscope may lead to the surgeon's fatigue and discomfort. METHODS: The developed navigation system includes extended augmented reality (AR), which can provide an extended viewport to a conventional endoscopic view by overlaying 3D anatomical models generated from preoperative medical images onto endoscope images. To enhance the accuracy of the developed system,

In surgical robots, compact manipulators with multi-degree-of-freedom (DOF) are essential owing to a small work volume in the patient body. Conventional single-DOF actuators such as electromagnetic motors require a multiple number of actuators to generate multi-DOF motion, which in turn results in bulky mechanism combined with transmission device. Our previous work has developed a compact ultrasonic motor capable of generating a multi-DOF rotation of a spherical rotor utilizing three natural vib

Over past decade, robots have been appearing in the operating room. Robots enhance surgery by improving precision, repeatability, stability, and dexterity. These qualities coupled with the human surgeon's judgment capabilities make a formidable combination. There are, however, many limitations to the application of robotics to surgery. In practice, these robotic systems can be difficult to use because of the limited dexterity and sensory feedback, as well as the major issue of safety. We may be

This study proposes a novel gait rehabilitation method that uses a hybrid system comprising a powered ankle-foot orthosis (PAFO) and FES, and presents its coordination control. The developed system provides assistance to the ankle joint in accordance with the degree of volitional participation of patients with post-stroke hemiplegia. The PAFO adopts the desired joint angle and impedance profile obtained from biomechanical simulation. The FES patterns of the tibialis anterior and soleus muscles a

As we witnessed in recent major disasters, the functionalities of robots in disaster environments do not appear to meet the high level of expectation from the public. This paper reviews robotic operations in disaster situations and open issues with the current robotic technologies. We particularly address fundamental problems with teleoperated ground robots for disaster response and recovery: design of robot platforms and balance between human supervisory control and robotic anatomy. In attempt

Conventionally, the carrying angle of the elbow is measured using simple two-dimensional radiography or goniometry, which has questionable reliability. This study proposes a novel method for estimating carrying angles using computed tomography that can enhance the reliability of the angle measurement. Data of CT scans from 25 elbow joints were processed to build segmented three-dimensional models. The cross-sectional centerlines of the ulna and the humerus were traced from the 3D models, and the

In this study, we proposed a novel machine-learning-based functional electrical stimulation (FES) control algorithm to enhance gait rehabilitation in post-stroke hemiplegic patients. The electrical stimulation of the muscles on the paretic side was controlled via deep neural networks, which were trained using muscle activity data from healthy people during gait. The performance of the developed system in comparison with that of a conventional FES control method was tested with healthy human subj