MC sensor is the first sensor that enables nonivasive and selective measurements of skeletal muscels and tendons tension.
F.32 International patent
COBISS.SI-ID: 11177300A novel MC sensor that enables noninvasive in situ (examine the phenomenon exactly in the place where it occurs) determination of the biomechanical, contractile and viscoelastic properties of all surface skeletal muscles, muscle parts, tendons and ligaments has been developed. With the MC sensor, muscle properties determination is achieved by measuring muscle force at the skin surface above the subject of measurement. The relationship between forces measured with the MC sensor and force caused by the contraction measured with a dynamometer is nearly linear in static conditions. In this paper, we show that this nearly linear relationship also holds when forces dynamically change in time during voluntary isometric contraction.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 9932372Modern smart phone devices are equipped with several space positioning MEMS sensors. Most of them are inaccurate low-cost silicon devices, not designed for motion tracking. The paper presents the results of several constraint motion tracking experiments using iPhone 4 sensors. Motion tracking errors can be reduced through sensor fusion - a simultaneous usage of accelerometer and gyroscope data. The experiments confirm that iPhone MEMS are accurate enough for short-time motion tracking (up to 10 s), limiting their use to confined space.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 10612564In this paper, we present an autonomous wearable personal training system, which includes a gesture user interface and real-time biofeedback. The system employs inertial sensors of a smartphone attached to the body. The system processes sensor data and provides users with real-time audio feedback. The operation of the system is driven by user gestures, defined by user’s body movements that are detected through their characteristic inertial sensor responses. As an example of such a system, we have designed the application for golf swing error detection and correction. The application helps golfers correct the unwanted head movements during the golf swing, when it provides them with the real-time audio feedback, signalling head movement errors. Field test results show that our system is an efficient tool for the detection and correction of head movement errors during the golf swing.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 10906964In sports, we see a phenomenon which is known as fatigue. It is a phenomenon that consists of more different processes, and on different structures (muscular system, peripheral and central nervous system). At least two forms of fatigue are known: muscle fatigue and central fatigue. In our study, we researched a type of fatigue that occurs during maximum running at between 100m and multiple repetitions of this run. We monitored the running speed, the frequency of steps, frequency of the body and changes in the functioning of muscle Biceps femoris after each run. We used accelerometers, gyroscopes and Tensiomyography. We found statistically significant changes in the frequency of run and value of mRFDT (parameter determined using TMG measurements) allowing more detailed insight into the biomechanics of running and the impact of fatigue.
B.03 Paper at an international scientific conference
COBISS.SI-ID: 32536025