Physical characteristics of the human are the essential information that is required for providing the adapted mobility assistance. Height and weight are two of these physical characteristics. Height can be used for adjustment of the assistance tools to the proper and comfortable position of the human users. Weight can be used as an indicator of the amount of force the assistance tools need to be able to support. Knowing human's state, if she/he is sitting, standing or has felt down, is also a useful information to provide the correct assistance to each user. In this work, we focus on extracting the approximate human morphology before any physical contact between the users and the assistance modules and before the users start using the assistance tools. This information will be used by the assistance tools that are designed for the public spaces to adjust themselves to the physical characteristics of each user. In this work, we estimate height of users in different positions and distances by maximum error of 12% in the worst case. And, estimate their weights with maximum error of 16%, which is an acceptable range of errors for our assistance tools.