Purpose The authors aim to develop a conceptual framework for longitudinal estimation of stress-related states in the wild (IW), based on machine learning (ML) algorithms that use physiological and non-physiological bio-sensor data. Design/methodology/approach propose consisting four blocks: (1) identification; (2) validation; (3) measurement (4) visualization. implement each step proposed fram...