Exploring Hardware Heterogeneity to Improve Pervasive Context Inferences

• Published in: Computer (Long Beach, Calif.) Vol. 50; no. 6; pp. 19 - 26
• Main Authors: Chenguang Shen, Srivastava, Mani
• Format: Journal Article
• Language: English
• Published: New York IEEE 2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accelerometers; Ambient intelligence; Context awareness; context inferences; Devices; Digital signal processing; Energy consumption; Energy management; Feature extraction; Hardware; Heterogeneity; Inference; Internet of Things; IoT; Mobile communication; pervasive computing; Power efficiency; silicon; smartwatches; Very large scale integration; VLSI; wearables

Context-aware inference apps have become pervasive as a result of the Internet of Things (IoT). However, most of these apps run continuously on a single device, resulting in limited sensor coverage and high energy consumption. Recent advances in IoT devices, specifically hardware heterogeneity, can...