Update main readme with more information and DOI link

README.md

@@ -12,10 +12,25 @@ size_categories:
 
 # WearMoCap Dataset
 
-This is the training and test data for WearMoCap, a system facilitating multimodal pose tracking from smartwatch and smartphone data. The library source code and tutorials are available on [__github__](https://github.com/wearable-motion-capture). This published technical report details data collection and dataset composition 
-[__WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch__](https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2024.1478016/full). A video is available [__here__](https://www.youtube.com/watch?v=hyQY5dyWPLU).
+TLDR: This dataset comprises ground truth optical motion capture data for left arm motions and body orientations, which are paired with smartwatch and phone sensor measurements. The entire synced, calibrated, and preprocessed time series data is stored as CSVs.
 
-## Dataset Format
-In general, we collected ground truth optical motion capture data for left arm motions and body orientation and synced it with smartwatch and phone sensor measurements. This dataset contains the synced, calibrated, and preprocessed data as CSVs.
+We collected this data to develop and test WearMoCap, a system facilitating multimodal pose tracking from smartwatch and smartphone data. 
+Its source code and tutorials are available on [__github__](https://github.com/wearable-motion-capture). 
+Details about data composition and collection setups are described in a published technical report [__here__](https://doi.org/10.3389/frobt.2024.1478016). 
+A video showcasing the WearMoCap system is available [__here__](https://www.youtube.com/watch?v=hyQY5dyWPLU).
 
-We collected data for three modes, each represented as one subfolder in this dataset: __Watch Only__, __Phone Uarm__, and __Phone Pocket__. The subfolders contain a README with additional information.
+# Repository Structure
+
+As described in the [__technical report__](https://doi.org/10.3389/frobt.2024.1478016), we partitioned data for operating WearMoCap in three modes: __Watch Only__, __Phone Uarm__, and __Phone Pocket__. 
+Each mode is one subfolder, which contains a README with more information on the data and subfolders for human subjects the data was collected from.
+
+```
+mode
+ |-- README.md
+ |-- subj01
+      |-- data01.csv
+      |-- [..]
+ |-- subj02
+ |-- [..]
+[..]
+```