To develop multimodal interfaces, one needs to understand the constraints underlying human communicative gesticulation and the kinds of features one may compute based on these underlying human characteristics.In this paper we address hand motion oscillatory gesture detection in natural speech and conversation. First, the hand motion trajectory signals are extracted from video. Second, a wavelet...

Overall manual accuracy and motion frequency in simulated microsurgery have been studied. Eye surgeons were tested in two tasks: attempting to hold an instrument still, and repeatedly actuating. Rms error and overall motion range were measured. Spectral analysis was also performed. The average rms error was 49 μm and 133 μm, respectively, for the two test conditions, and the average range of mo...

The recent introduction of depth cameras like Leap Motion Controller allows researchers to exploit the depth information to recognize hand gesture more robustly. This paper proposes a novel hand gesture recognition system with Leap Motion Controller. A series of features are extracted from Leap Motion tracking data, we feed these features along with HOG feature extracted from sensor images into...

For motion to appear realistic and believable proper motion blending methods must be used in respect to the goal or task at hand. We present a method that extends the theory of move trees [MBC01] by tagging (attaching) information to each clip within a database at intervals and finding the shortest distance per tag while pruning the tree using convergence priority. Our goal is to retain the phy...

Objectives: The objective was to determine the results of early active controlled motion in the patients rehabilitated by our new protocol. Methods: 91 fingers in 64 patients with flexor tendon repair in all zones were enrolled in a single group (quasi-experimental) clinical trial. 58 fingers in 43 patients were assessed at least three months postoperatively. Outcomes were defined using the ...

by Dimitrios Tzionas for the degree of Doctor rerum naturalium Hand motion capture with an RGB-D sensor gained recently a lot of research attention, however, even most recent approaches focus on the case of a single isolated hand. We focus instead on hands that interact with other hands or with a rigid or articulated object. Our framework successfully captures motion in such scenarios by combin...

Virtual agent research on gesture is increasingly relying on data-driven algorithms, which require large corpora to be effectively trained. This work presents a method for automatically segmenting human motion into gesture phases based on input motion capture data. By reducing the need for manual annotation, the method allows gesture researchers to more easily build large corpora for gesture an...

This paper presents a new technique for retargeting the sign language data captured from motion capture device to different characters with different sizes and proportions. Realistic and natural animations can be produced to express similar meanings to the original. The proposed method first defines many sensitive points on the human body and selects the key sensitive points through analyzing t...

Non-Hermitian skin effect (NHSE) describes the exponential localization of all eigenstates toward boundaries in non-Hermitian systems, and has attracted intense research interest late. Here we theoretically propose a scheme which NHSE significantly impacts external motion single trapped ion through complex spin-motion dynamics. On one hand, show competition between coherent Bloch other since ma...