Abdelsalam Helal
University of Florida
78 Papers
1.1K Citations
Abdelsalam Helal is an academic researcher from University of Florida. The author has contributed to research in topics: Mobile computing & Ubiquitous computing. The author has an hindex of 25, co-authored 78 publications.
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Papers
Drishti: an integrated navigation system for visually impaired and disabled
Abdelsalam Helal,S.E. Moore,B. Ramachandran +2 more
- 08 Oct 2001
TL;DR: Drishti augments contextual information to the visually impaired and computes optimized routes based on user preference, temporal constraints, and dynamic obstacles based on static and dynamic data.
416
Bit-sequences: an adaptive cache invalidation method in mobile client/server environments
TL;DR: The proposed BS algorithm is especially suited for dissemination-based (or “server-push”-based) nomadic information service applications and its critical aspect is its self-adaptability and effectiveness, regardless of the connectivity behavior of the mobile clients.
234
Smart Home-Based Health Platform for Behavioral Monitoring and Alteration of Diabetes Patients:
TL;DR: A smart home monitoring and analysis platform that facilitates the automatic gathering of rich databases of behavioral information in a manner that is transparent to the patient is described, which represents an important first step in the field of smart environment-based health monitoring and assistance.
Patent
Modular Platform Enabling Heterogeneous Devices, Sensors and Actuators to Integrate Automatically Into Heterogeneous Networks
Abdelsalam Helal,Jeffrey Craig King,Raja Bose,Steven Lee Pickles,James A. Russo,Steve Van Der Ploeg,Hicham Mahmoud El Zabadani,Ahmad El Kouche +7 more
- 21 Feb 2007
TL;DR: In this article, the authors propose a method for interfacing a plurality of devices to a hardware platform, which includes communicably connecting each of the devices to the hardware platform and converting each device into a programmable software service using a driver.
112
Scene change detection techniques for video database systems
TL;DR: This paper provides a taxonomy that classifies existing SCD algorithms into three categories: full-video-image-based, compressed-video, and model-based algorithms, and proposes a set of criteria for measuring and comparing the performance of variousSCD algorithms.
98