Projecting the new body: How body image evolves during learning to walk with a wearable robot

Advances in wearable robotics challenge the traditional definition of human motor systems, as wearable robots redefine body structure, movement capability, and perception of their bodies. While these devices can empower the wearer’s motor performance, there is limited understanding of how wearers update perception of body image (a conscious, subjective experience of one’s own body), especially the image in dynamic movements, while learning to use these devices. This study aimed to fill the gap by examining changes in body image as individuals learned to walk with a robotic leg over multi-day training. We measured gait performance and perceived body image via Selected Coefficient of Perceived Motion (SCoMo) after each training session. Based on human motor learning theory extended to wearer-robot systems, we hypothesized that learning the perceived body image when walking with a robotic leg co-evolves with the actual gait improvement and becomes more certain and more accurate to actual m..., , # **Projecting the new body: How body image evolves during learning to walk with a wearable robot**

#### Dataset DOI: [10.5061/dryad.6hdr7srf6](https://doi.org/10.5061/dryad.6hdr7srf6)

## **Description of the data and file structure**

Two types of data sets are included: 

SP_Mean_SCoMo.csv and SP_STD_SCoMo.csv are data included in the supplementary part and the others are in the main manuscript.

**Files and variables**

**File: SP_Mean_SCoMo.csv**

**Description:** the mean of measured SCoMo is reported each participant. The column indicates the view, in which the SCoMo is estimated, and the rows indicate the participant indicator SP1-SP12.

**Variables**

* Mean_SCoMo (no unit)

Averaged across three repeated measurements

**File: SP_STD_SCoMo.csv**

**Description:** the standard deviation of measured SCoMo is reported by each participant. The column indicates the view, in which the SCoMo is estimated, and the rows indicate the participant indicator SP1-SP12.

**Variables**

* STD..., The data was collected based on the protocol approved by NCSU IRB. Only de-identified data are included in the dataset.