Simple inertial navigation sensor like an accelerometer is utilized to get dynamic/static profile of movement to navigate the mouse or gyroscope to rotate 3-D virtual objects. This proposed novel solution achieves effective interaction with Internet giving quality feedback, intuitive control with complete mobility. Developments in field of communication have enabled computer commands being executed using hand gestures. In this paper, we propose a “Human Computer Interfacing Device” mapping Hand Gestures, most intuitive communication gesture, to communicate with computers, robots and other household electronic devices. The hand gestured device and the robot is connected through wireless RF (radiofrequency) communication using zigbee module.Ĭommunicating with computer involves use of touch screens, wireless/wired mouse along with keyboards. #Mouseless computer driver#The robot uses differential drive for movement and gets power from motor driver board attached to the chassis. The output of the accelerometer sensor is directly fed to the microcontroller and depending on the hand movement, the robot is controlled. It is placed between any two fingers of the hand. The working of the sensor is based on the concept of acceleration due to gravity at different positions with its varied orientations. #Mouseless computer how to#It portrays how to control a robot using hand gesture control technique with a 3-axis accelerometer sensor. Thus with a sublime goal to create a modernized environment for HCI exterminating all the undesired-age old-orthodox communicating peripherals like keyboard, mouse, etc. After all to prosper the quality of life of elderly and physically challenged people, the improvisation of gesture control technology is a burning urgency. But the orthodox usage of mouse and keyboards for HCI makes our life tedious and stereotyped. The diffusion of unstoppable juggernaut of computational innovations and artificial intelligence into our lives makes human-computer interaction (HCI) as the most emphasizing field for the current researchers and scientists. An experimental result is as to how to validate the HMM model, based on the cost value of the optimizer, in order to improve the performance measures of the system. A comparative analysis of other classification techniques used in hand gesture recognition is carried out on the proposed work hybrid with the bio-inspired metaheuristic approach, namely the cuckoo search algorithm, for reducing the complex trajectory in the hidden Markov model (HMM) model. This concerns three basic issues: (1) there is no physical contact between the user and the system, (2) the rotation of the hand gesture can be determined by the geometric features, and (3) the model parameter must be optimized to improve measurement of performance. Hand gesture is a natural way of interaction with a computer by interpreting the primitive characteristics of gesture movement to the system. The authors develop an advanced hand motion recognition system for virtual reality applications using a well defined stochastic mathematical approach. In the experiments, Correct Index Power (CIP) is used to measure the retrieval accuracy. This information further can be used to construct hash-table and matching can be performed. These obtained minutiae features are invariant to scale, translation, rotation and each minutia is represented as feature vector. In this system minutia local neighborhood information is extracted to create minutiae features. In this paper we have proposed a robust hash-based indexing technique for large latent fingerprint matching to speed up matching. Thus, there is a need for developing a fast, reliable and robust latent AFIS. But latent AFIS is still in its early stages and has to overcome many challenges. #Mouseless computer manual#Latent AFIS is in growing demand due to absence of manual human intervention in matching. This dominancy has resulted in establishment of Automatic Fingerprint Identification System (AFIS). #Mouseless computer verification#Use of Biometrics, especially fingerprints is increasing day by day due to its reliable verification and identification.
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