Integration of digital olfaction with a mobile phone and television.

Mimicry of real-life experience in the virtual world has been the driving force behind the Virtual Reality technology development. Television technology has by and large captured the senses of hearing and vision but has failed to capture the experiences of organs viz. smell, taste, and touch. Therefore, the overarching idea of the current is to augment the virtual reality experience of audio and motion pictures on television with a sense of olfaction. The system under consideration senses olfaction inputs at the source end with a sensor array and analyses the same into fundamental odor at the receiver end through the tele-olfactory-audio vision system adding action to the state-of-the-art virtual reality experience. emitted by the odoriferous sample are sensed by the sensor array. The sensor array consists of an array of sensors that need to be electrically or thermally activated. The sensors will experience in the virtual world has been the driving force behind the Virtual Reality technology development. Television technology has by and large captured the senses of hearing and vision but has failed to capture the experiences of three other senses the overarching idea of the current project under to augment the virtual reality experience of audio and motion pictures in an under-consideration senses olfaction inputs at odor components and an audio-visual system adding virtual reality experience. Volatile vapors emitted by the odoriferous sample are sensed by the sensor array. The sensor array consists of an array of sensors that needs to be electrically or thermally activated. The sensors will primarily sense the parameter for which it is developed and to some extent sense other parameters as well. The output of the sensors needs to be linearized and compensated for nonlinearity, hysteresis, temperature, and aging drift. This needs to be performed in the secondary transducer. The output of the second transducer has to be converted into digital form using a digital-to-analog converter. The digital output shall be used to estimate using the individual sensor outputs in the sensor array using a suitable statistical estimation algorithm. Finally, the signal needs to be pre-processed for band limiting it for further processing. The data output of the pre-processing block shall be used to map into a lower dimensional space to be used for classification. The data thus synthesized from odoriferous sample input can be transmitted to remote locations along with audio and motion pictures. During transmission, the data may be corrupted by noise. In our work, this involves adding a suitable noise model to the system to represent the channel noise. At the receiver end, the noisy data being received is subjected to denoising and signal enhancement with the objective to increase the signal-to-noise ratio. The denoised data output shall be used to synthesize the olfaction at the receiver end so as to give an experience of olfaction to the end user along with audio and video. For calibration purposes of the olfactory input at the source end, the human olfactory response to specific odors is proposed to be taken into consideration. For olfaction at the receiver end, odoriferous chemicals are proposed to be spurted out in the form of aerosols from cartridges in the right proportion leading to the reconstruction of the odor at the receiver end.