Innovative Research on Smart Devices Based on the Optimization of Hardware Stacking Structure

This article aims to explore innovative methods for promoting the improvement of overall performance and usability of smart devices through the optimization of hardware stacking structures. Firstly, without changing the technical principles and hardware selection, it analyzes user behavior, combines the “six characteristics” index and “human-machine engineering design principles” to sort out the mapping relationship between performance requirements, usability, and hardware elements, and summarizes the potential problems that the existing hardware layout may cause. Then, the hardware stacking structure is designed and adjusted, and a hardware stacking structure is selected for appearance design in combination with market differentiation. Finally, the key performance and human-computer interaction comfort of the design are verified using SolidWorks engineering simulation software and Jack ergonomic software. In terms of the applicability of this method, it is more suitable for smart device projects with high user engagement, a high degree of modularization in subsystems, and a highly homogenized market for the entire equipment, providing a new perspective for traditional industrial design thinking. However, it is not suitable for purely functional equipment or devices with little human-computer interaction and no spatial constraint conditions.

Authors

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icid64166.2024.11024935
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovative Research on Smart Devices Based on the Optimization of Hardware Stacking Structure

Xiaolin Hu, Gaopeng Wang, X.-L. Huang, Han Liu
Manufacturing Process and Optimization
article

Innovative Research on Smart Devices Based on the Optimization of Hardware Stacking Structure

Xiaolin Hu, Gaopeng Wang, X.-L. Huang, Han Liu
article en

Abstract

This article aims to explore innovative methods for promoting the improvement of overall performance and usability of smart devices through the optimization of hardware stacking structures. Firstly, without changing the technical principles and hardware selection, it analyzes user behavior, combines the “six characteristics” index and “human-machine engineering design principles” to sort out the mapping relationship between performance requirements, usability, and hardware elements, and summarizes the potential problems that the existing hardware layout may cause. Then, the hardware stacking structure is designed and adjusted, and a hardware stacking structure is selected for appearance design in combination with market differentiation. Finally, the key performance and human-computer interaction comfort of the design are verified using SolidWorks engineering simulation software and Jack ergonomic software. In terms of the applicability of this method, it is more suitable for smart device projects with high user engagement, a high degree of modularization in subsystems, and a highly homogenized market for the entire equipment, providing a new perspective for traditional industrial design thinking. However, it is not suitable for purely functional equipment or devices with little human-computer interaction and no spatial constraint conditions.

Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Innovative Research on Smart Devices Based on the Optimization of Hardware Stacking Structure — Xiaolin Hu, Gaopeng Wang, et al. · (2024) | TGRS Research Map | TGRS