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資訊系統與應用研究所
[Dec-24 and 26] An Adventure into Human Daily Activities Recognition Through Accelerometer Readings, An Analytical Model for DASH Video Streaming and Its Applications

Institute of Information Systems and Applications

Lecture I

Speaker :

 

Prof. Wei-Tsang Ooi

Department of Computer Science National University of Singapore, Singapore.

Topic :

An Adventure into Human Daily Activities Recognition Through Accelerometer Readings

Date :

3:30 p.m. - 5:30 p.m. Tuesday 24-Dec-2019

Location :

台達館R102Delta Building R102

Hosted by:

Prof. Cheng-Hsin Hsu

Abstract

Motivated by the need to improve medication adherence of patients through life analytics, we consider the problem of recognizing human activities using accelerometer data from wearable devices. In this talk, I will first outline the challenges that we face when trying to recognize changes in human activities with real-world data. I will then focus on a baby step towards the larger goal: to detect changes in the activities performed by the patient. Existing change detection algorithms use either unsupervised methods that are dependent on a pre-defined threshold or supervised methods that learn from the data. The latter mostly focuses on simple ambulatory activities or uses data captured in scripted settings, making it difficult translate into real-world scenarios. I will then present our proposed change detection approach that primarily uses shape features combined with hierarchical clustering to tackle the complexity that arises from real-world settings.

 

Lecture II

Speaker :

 

Prof. Wei-Tsang Ooi

Department of Computer Science National University of Singapore, Singapore.

Topic :

An Analytical Model for DASH Video Streaming and Its Applications

Date :

10:00 a.m. - 12:00 p.m. Thursday 26-Dec-2019

Location :

台達館R106Delta Building R106

Hosted by:

Prof. Cheng-Hsin Hsu

 

Abstract

In this talk, I will outline a series of work on improving the viewer's experience in the context of DASH Video Streaming. I will first present a simple queueing model that we use to model a DASH player, relating the video buffer, playback rate, network throughput, and video bitrate. Then, I will show how this model is used as a basis for different algorithms for DASH, to improve the viewing experience in different contexts, including multi-server streaming, tiled streaming, and live streaming.

 

All faculties and students are welcome to join.

 

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