Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics

Details Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics

2011-06-22

arxiv.org/abs/1106.4451v1

Computer Science

Multimedia

2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI), Madrid : Spain (2011)

Scientific paper

This paper presents a method for indexing human ac- tivities in videos captured from a wearable camera being worn by patients, for studies of progression of the dementia diseases. Our method aims to produce indexes to facilitate the navigation throughout the individual video recordings, which could help doctors search for early signs of the dis- ease in the activities of daily living. The recorded videos have strong motion and sharp lighting changes, inducing noise for the analysis. The proposed approach is based on a two steps analysis. First, we propose a new approach to segment this type of video, based on apparent motion. Each segment is characterized by two original motion de- scriptors, as well as color, and audio descriptors. Second, a Hidden-Markov Model formulation is used to merge the multimodal audio and video features, and classify the test segments. Experiments show the good properties of the ap- proach on real data.

Affiliated with

Also associated with

No associations

Rating

Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-206735