PsyMo

PsyMo数据集是由布加勒斯特理工大学的Adrian Cosma和Emilian Radoi创建的，包含14,976个行走序列，用于探索心理特质在行走模式中的表现。该数据集收集了312名参与者在7种不同行走变体和6个摄像机角度下的行走序列，并结合行走序列，参与者填写了6个心理问卷，总计17个与个性、自尊、疲劳、攻击性和心理健康相关的心理测量属性。数据集主要用于探索心理特质在行走模式中的表现，允许跨学科研究人类行为，从人工智能和心理学研究社区的角度出发。

The PsyMo Dataset was developed by Adrian Cosma and Emilian Radoi from the Polytechnic University of Bucharest. It contains 14,976 gait sequences, designed to explore the manifestation of psychological traits in gait patterns. The dataset collects gait sequences from 312 participants across 7 distinct walking variants and 6 camera angles. Alongside the gait data collection, participants completed 6 psychological questionnaires, yielding a total of 17 psychometric attributes related to personality, self-esteem, fatigue, aggression, and mental health. Primarily targeting the exploration of psychological traits in gait patterns, this dataset enables interdisciplinary human behavior research for the artificial intelligence and psychology research communities.