The objective of this work is to develop a 1-D transient heat and mass transfer model of a walking clothed human to predict the dynamic clothing dry heat insulation values and vapor resistances. Developing an integrated model of human and clothing system under periodic ventilation requires estimation of the heat and mass transfer film coefficients at the skin to the air layer subject to oscillating normal flow. Experiments were conducted in an environmental chamber under controlled conditions of 25 degreesC and 50% relative humidity to measure the mass transfer coefficient at the skin to the air layer separating the wet skin and the fabric. A 1-D mathematical model is developed to simulate the dynamic thermal behavior of clothing and its interaction with the human thermoregulation system under walking conditions. A modification of Gagge's two-node model is used to simulate the human physiological regulatory responses. The human model is coupled to a clothing three-node model of the fabric that takes into consideration the adsorption of water vapor in the fibers during the periodic ventilation of the fabric by the air motion in from ambient environment and out from the air layer adjacent to the moist skin. When physical activity and ambient conditions are specified, the integrated model of human-clothing can predict the thermoregulatory responses of the body together with the temperature and insulation values of the fabric. The developed model is used to predict the periodic ventilation flow rate in and out of the fabric, the periodic fabric regain, the fabric temperature, the air layer temperature, the heat loss or gain from the skin, and dry and vapor resistances of the clothing. The heat loss from the skin increases with the increase of the frequency of ventilation and with the increased metabolic rate of the body. In addition, the dry resistance of the clothing fabrics, predicted by the current model, IS compared with published experimental data. The current model results compare qualitatively well with published data and show significant decrease in the clothing dry and evaporative insulation values. (C) 2003 Editions scientifiques et medicales Elsevier SAS. All rights reserved.