This work aimed to develop a data glove for the real-time translation of Turkish sign language. In addition, a novel Fuzzy Logic Assisted ELM method (FLA-ELM) for hand gesture classification is proposed. In order to acquire motion information from the ...

Traditional crafts such as tategu (door and window fittings), kimono (clothes), and shikki (lacquerware) are regarded as important items for daily life in Japan; however, in recent years, the industry that manufactures and sells these products has ...

It is important for many applications to capture hand movements with high accuracy to achieve the natural human-computer interaction, such as games, robotics, rehabilitation, and virtual reality (VR). An ideal hand motion capture solution requires good ...

In this position paper, we propose a novel wearable for capturing hand and finger movements accurately. The wearable uses a multimodal inference from rotary potentiometers and IMU sensor readings. We present various design decisions and challenges ...

Sign language is a method of communication primarily used by the hearing impaired and mute persons. In this method, letters and words are expressed by hand gestures. In fingerspelling, meaningful words are constructed by signaling multiple letters in a ...

We propose a stretch-sensing soft glove to interactively capture hand poses with high accuracy and without requiring an external optical setup. We demonstrate how our device can be fabricated and calibrated at low cost, using simple tools available in ...

Aim at the defects of easy to fall into the local minimum point and the low convergence speed of back propagation (BP) neural network in the gesture recognition, a new method that combines the chaos algorithm with the genetic algorithm (CGA) is ...

Wearable technology has become an integral part of modern era where it governs the human machine interface to a great extent. This is the easiest way of communication between human and machine in the form of control or commands. One such device is ...

A hand injury can have great impact on a person's daily life. However, the current manual evaluations of hand functions are imprecise and inconvenient. In this research, a data glove embedded with 6-axis inertial sensors is proposed. With the proposed ...

In this paper, we propose an interactive motion control interface with hand manipulation. Using fingers and hands, the user can simultaneously control a large number of degrees of freedom. Our interface is inspired by the control mechanism of a real ...

In this paper, a hybrid framework for creating an instruction video by means of motion capture technologies will be explained. In this video an animated pedagogical agent named Anastasia (<u>an</u>imated <u>as</u>sistant for <u>tas</u>ks in <u>i</u>...

This paper presents a quantitative assessment solution for an upper extremities rehabilitative gaming application [1]. This assessment solution consists of a set of stand-alone hardware, including SmartGlove and Kinect, a depth capturing sensor made by ...

Here we report some techniques we adopted to electrically characterize some commercially available bend sensors, in terms of their resistance variations when curved or angular shaped. This study has the aim of a correct exploitation of the bend sensors ...

This paper presents a hand motion capture system. Its application is a wearable controller for an upper extremities rehabilitation game. The system consists of a wearable data glove platform (SmartGlove, a customized finger pressure, bending, and 9DOM ...

Glove-based systems are an important option in the field of gesture recognition. They are designed to recognize meaningful expressions of hand motion. In our daily lives, we use our hands for interacting with the environment around us in many tasks. Our ...

Current trends in human computer interface (HCI) have brought on a wave of new consumer devices that can track the motion of our hands. These devices have enabled more natural interfaces with computer applications. Data gloves are commonly used as input ...

Topics include efforts to accelerate computer bootups, a new data glove that records users' hand and finger motions to let them interact with various types of systems, a lithography technique for creating fast chips, and the world's smallest medical ...

In general, AAC systems are equipped with special access mechanisms, since the users lack the fine motor-control required to operate such systems with standard peripheral devices. The major problem with such AAC systems is low text typing speed. This ...

Editing facial expressions of virtual characters is quite a complex task. The face is made up of many muscles, which are partly activated concurrently. Virtual faces with human expressiveness are usually designed with a limited amount of facial ...

We present the results of an empirical study investigating the effect of visual feedback and body postures on gesture interaction techniques in a dual task setup found, for example, in wearable computing. The conducted experiment uses a novel apparatus ...