The degree of acceptance and the impact of sensor technology on diagnosing gender dysphoria (GD) were investigated, cross-employing the technology acceptance model (TAM), follower theory (FT), and social identity theory (SIT). Through interviews with 20 invited experts and a questionnaire survey of 243 participants, alternatives (attitude toward using technology, behavioral intention to use, and actual system use), factors (innovative sensor technology, user’s perception of the technology, and social identity), and subfactors (innovative sensor technology, behaviors within user’s perception of the technology, and social identity) were defined. The analysis results showed that innovative sensor technology is important in the users’ perception of the technology for the diagnosis of GD based on gender characteristics. The participant expected the actual use of the technology for the precise and reliable identification of GD. This result implies that sensor technology helps solve social problems caused by GD, and its applications can be evaluated in diversified behaviors in accordance with GD. Sensors that measure psychological disturbance were considered important for psychological and physical assessments. The results of this research reveal that more opportunities are required for the use of sensor technology as an efficient method for interdisciplinary research.