Person:
Clements,
Mark A.
Publication Search Results
Automated Assessment of Surgical Skills Using Frequency Analysis
Decoding Children’s Social Behavior
Person:
Clements,
Mark A.
1 - 2 of 2
Item
We present an automated framework for visual assessment
of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis techniques
for extracting motion quality via frequency coefficients are introduced.
The framework is tested on videos of medical students with different expertise levels performing basic surgical tasks in a surgical training lab setting. We demonstrate that transforming the sequential time data into
frequency components effectively extracts the useful information differentiating between different skill levels of the surgeons. The results show significant performance improvements using DFT and DCT coefficients
over known state-of-the-art techniques.
Item
We introduce a new problem domain for activity recognition:
the analysis of children’s social and communicative
behaviors based on video and audio data. We specifically
target interactions between children aged 1–2 years
and an adult. Such interactions arise naturally in the diagnosis
and treatment of developmental disorders such as
autism. We introduce a new publicly-available dataset containing
over 160 sessions of a 3–5 minute child-adult interaction.
In each session, the adult examiner followed a semistructured
play interaction protocol which was designed to
elicit a broad range of social behaviors. We identify the key
technical challenges in analyzing these behaviors, and describe
methods for decoding the interactions. We present
experimental results that demonstrate the potential of the
dataset to drive interesting research questions, and show
preliminary results for multi-modal activity recognition.