Two Way Wireless Data Communication and American Sign Language Translator Glove for Images Text and Speech Display on Mobile Phone

A Review on Systems-Based Sensory Gloves for Sign Language Recognition State of the Art between 2007 and 2017

“…An electronic glove was equipped with five flex sensors, an ACC, and a contact sensor to recognize static and dynamic gestures and convert these gestures into visual information on an LCD, voice through a speaker, or both [ 67 ]. The embedded system is composed of data gloves with flex sensors and an ACC to detect finger tilt and hand rotation; thereafter, these signs are processed by a microcontroller, and the playback voice is the output of the system [ 79 ]. The glove maps the hand orientation and bending of fingers with the help of an ACC and Hall Effect sensors.…”

“…System cost: Cost is one of the challenges in developing the sign language (SL) discrimination system [ 12 ]. The vast majority of people who cannot hear or speak have low income or are below the poverty level [ 79 ]. Therefore, developing a cheap sign language recognition (SLR) system is the most important objective [ 38 , 59 , 85 ].…”

“…Real-time recognition: Providing a real-time response to a specific task in a recognition system is important in presenting instantaneous feedback to the user. Consequently, tracking and identification need to be manipulated as fast as possible [ 51 , 79 ]. Two-hand recognition: Most SL alphabets and postures can be performed with one hand [ 71 ].…”

“…The attention given to the sensory glove is due to its capability to capture the data required to photograph the shape and movement of the hand for the purpose of recognizing the gestures of SL. Despite the fact that SL has plenty of postures, many studies have concentrated on a selective set of postures that may be as small as some letters of the alphabet [ 21 , 44 , 47 , 51 , 78 ]; or the postures of the most frequently used words [ 37 , 41 , 45 , 55 , 56 , 72 , 77 , 79 ]; or a combination of the alphabet, numbers, and words [ 6 ] to perform their experiments and develop an SLR system. Others have contributed to the expansion of the database of gestures allocated for the purpose of developing a system to distinguish them and make them include either whole alphabets [ 4 , 11 , 35 , 46 , 50 , 57 , 64 , 65 , 70 ], numbers within the range 0 to 9 [ 10 ], or both, in the same system [ 39 , 42 , 69 ].…”

A Dynamic Gesture Recognition Interface for Smart Home Control based on Croatian Sign Language

“…There are many related studies for hand gesture recognition using wearable [9] and non-wearable sensors [8]. Considering the different sensors, the research involves the use of specialized hardware such as Microsoft Kinect [14][15][16], stereo camera [17], sensor gloves [18][19][20], and non-specialized hardware like mobile phone cameras [21,22], web cams [23], etc. The use of specialized hardware for hand gesture acquisition primarily bridges certain steps in the process that would otherwise have to be taken into account, such as hand segmentation, hand detection, and hand orientation, finger isolation, etc.…”