Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …

Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

Predictive emission monitoring systems (PEMS) are important tools for validation and
backing up of costly continuous emission monitoring systems used in gas-turbine-based …

The spectral and energy properties of speech have consistently been observed to change
with a speaker's level of clinical depression. This has resulted in spectral and energy based …

Reliable, valid, and efficient assessment of depression is critical to identify individuals in
need of treatment and to gauge treatment response. Current methods of assessment are …

This paper presents our work on ACM MM Audio Visual Emotion Corpus 2014 (AVEC 2014)
using the baseline features in accordance with the challenge protocol. For prediction, we …

Distress is a complex condition, which affects a significant percentage of cancer patients and
may lead to depression, anxiety, sadness, suicide and other forms of psychological …

In this work, we compare emotion recognition on two types of speech: spontaneous and
acted dialogues. Experiments were conducted on the AVEC2012 database of spontaneous …

Automatic emotion recognition is vital for building natural and engaging human-computer
interaction systems. Combining information from multiple modalities typically improves …