Photography is closely related to the affection of individuals. Camera is one of the promising applications of affective computing. Emotion is essentially a personal characteristic, and it should be dealt with individually and not generically. Therefore, physiological signals are expected to be effective in the field of photography. Previous researches have shown that physiological signals are promising, but a huge amount of physiological data is needed to confirm its effectiveness in realistic situations. We constructed prototypes to investigate the usefulness of this concept in daily life without waiting for the accumulation of a huge amount of physiological data. In the prototypes, we employ three types of physiological signals, namely EOG (electrooculography), EEG (electroencephalogram), and ECG (electrocardiogram). We plan to use these prototypes to evaluate the usefulness and effectiveness of physiological signals in photograpny in the real world.