Browsing by Subject "Motion tracking"

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    Exploring The Effect Of Visual And Verbal Feedback On Ballet Dance Performance In Mirrored And Non-Mirrored Environments
    (2016-05) Trajkova, Milka; Cafaro, Francesco; Bolchini, Davide; Mannheimer, Steve
    Since the 1800s, the ballet studio has been largely unchanged, a core feature of which is the mirror. The influence of mirrors on ballet education has been documented, and prior literature has shown negative effects on dancers’ body image, satisfaction, level of attention and performance quality. While the mirror provides immediate real-time feedback, it does not inform dancers of their errors. Tools have been developed to do so, but the design of the feedback from a bottom-up perspective has not been extensively studied. The following study aimed to assess the value of different types of feedback to inform the design of tech-augmented mirrors. University students’ ballet technique scores were evaluated on eight ballet combinations (tendue, adagio, pirouette, petit allegro, plié, degage, frappe and battement tendue), and feedback was provided to them. We accessed learning with remote domain expert to determine whether or not the system had an impact on dancers. Results revealed that the treatment with feedback was statistically significant and yielded higher performance versus without the feedback. Mirror versus non-mirror performance did not present any score disparity indicating that users performed similarly in both conditions. A best fit possibility was seen when visual and verbal feedback were combined. We created MuscAt, a set of interconnected feedback design principles, which led us to conclude that the feasibility of remote teaching in ballet is possible.
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    Tracking motion kinematics and tremor with intrinsic oscillatory property of instrumental mechanics
    (Wiley, 2022-10-22) Ni, Chun-Lun; Lin, Yi-Ting; Lu, Liang-Yin; Wang, Jia-Huei; Liu, Wen-Chuan; Kuo, Sheng-Han; Pan, Ming-Kai; Biochemistry and Molecular Biology, School of Medicine
    Tracking kinematic details of motor behaviors is a foundation to study the neuronal mechanism and biology of motor control. However, most of the physiological motor behaviors and movement disorders, such as gait, balance, tremor, dystonia, and myoclonus, are highly dependent on the overall momentum of the whole-body movements. Therefore, tracking the targeted movement and overall momentum simultaneously is critical for motor control research, but it remains an unmet need. Here, we introduce the intrinsic oscillatory property (IOP), a fundamental mechanical principle of physics, as a method for motion tracking in a force plate. The overall kinetic energy of animal motions can be transformed into the oscillatory amplitudes at the designed IOP frequency of the force plate, while the target movement has its own frequency features and can be tracked simultaneously. Using action tremor as an example, we reported that force plate-based IOP approach has superior performance and reliability in detecting both tremor severity and tremor frequency, showing a lower level of coefficient of variation (CV) compared with video- and accelerometer-based motion tracking methods and their combination. Under the locomotor suppression effect of medications, therapeutic effects on tremor severity can still be quantified by dynamically adjusting the overall locomotor activity detected by IOP. We further validated IOP method in optogenetic-induced movements and natural movements, confirming that IOP can represent the intensity of general rhythmic and nonrhythmic movements, thus it can be generalized as a common approach to study kinematics.