A wired glove system is developed by designing a low cost dataglove which has the similar function with the conventional dataglove and has been named as GloveMAP. The system involves the finger movements with some of grasping activities to investigate the force exerted on the fingertips during grasping a rectangular object with different weight. Force sensing resistors (FSR) are attached to the thumb, index and middle fingers to obtain the voltage changes from the activities of fingers grasping. The output data from different weight of rectangular object during grasping are analyzed based on statistical approaches. The correlation between weight and force has been determined by comparing the gradient slope between both graphs.

A low cost dataglove system is developed by designing a glove equipped with Force Sensing Resistor (FSR) on to the thumb, index and middle finger, named as GloveMAP. The system involves the finger movements with some of grasping activities to investigate the force exerted on the fingertips during grasping five different shapes of objects with same weight. The output forces obtained from the experiment are then analyzed by finding the features of force objects grasping. Linear Discriminat Analysis (LDA) is used as classifier to process the features information of grasping force. The final result of the recognition rate for cylinder, rectangular, spherical, planar and disc objects are 87.5%, 90%, 85%, 92% and 95% respectively.

Modernization of human technologies overtime results the need of more freedom technology likes the use of natural interaction to replace a current trend interface devices such as joysticks, mice, keyboards and other related output devices. Dataglove is one of the interface devices that could serve a natural interaction between user and computers. In this paper, a dataglove calledGloveMAPis introduced which has the capability of measuring fingertip force. The flexible force sensors are attached to the fingers location of the glove. Several object grasping experiments are conducted and the grasping force signals are measured. A Gaussian filter is introduced to smoothen the acquired force signals.

A low cost wired glove system is developed by designing a new glove which has the similar function with the conventional dataglove and has been named as GloveMAP. The system involves the finger movements with some of activities to control the direction of the two wheels mobile robot. Flexible bend sensors are attached to the index and middle fingers to obtain the voltage changes from the different activities of fingers bending. The proposed systems successfully navigate the two wheels mobile robot by the combination of voltage changes from these two fingers to give the instruction for right, left, forward and backward directions.

A wired glove system is developed by designing a low cost glove which has the similar function with the conventional dataglove and has been named as GloveMAP. The system involves the finger movements with some of grasping activities to investigate the force exerted on the fingertips during grasping a cylinder with different weight. Force sensing resistors (FSR) are attached to the thumb, index and middle fingers to obtain the voltage changes from the activities of fingers grasping. The output data from different weight of cylinder (bottle) during grasping are analyzed based on statistical approaches. The correlation between weight and force has been determined by comparing the gradient slope between both graphs.