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全球手势识别市场报告(2016-2020年)

Global Gesture Recognition Market for Emerging Applications 2016-2020

加工时间:2016-10-28 信息来源:EMIS 索取原文[60 页]
关键词:人机交互;更自然;直观的交互;控制机器;智能手机;手势控制;控制设备
摘 要:

Human-machine interaction has reduced the gap between the two and developed a more natural and intuitive interaction. Humans have come a long way from controlling machines through switches fitted on them to remote controls, and currently, through smartphones. In the future, it will be through natural gestures. Gesture control is by far the most natural form of controlling a device.


目 录:

PART 01: Executive summary

Highlights

PART 02: Scope of the report

Base year

Definitions

Market coverage

Market size calculation

Geographical segmentation

Vendor segmentation

Common currency conversion rates

PART 03: Market research methodology

Research methodology

Economic indicators

PART 04: Introduction

Key market highlights

How does it work?

History

PART 05: Summary of key figures

Summary of key figures

PART 06: Cost of incorporating gesture recognition

technology

PART 07: Market landscape

Market overview

Market size and forecast

Market analysis

PART 08: Five forces analysis

Five forces analysis for global gesture recognition market

for gaming consoles

Five forces analysis for global gesture recognition market

for smart TVs

Five forces analysis for global gesture recognition market

for automotive

PART 09: Market segmentation by technology

PART 10: Market segmentation by application

PART 11: Geographical segmentation

Global gesture recognition market in consumer

electronics

Global gesture recognition market in automotive

PART 12: Market drivers

Focus on human-machine interface in automotive

sector

User-friendliness of gesture recognition-enabled

devices

Development of 3D cameras

Increased adoption of motion-control gaming

PART 13: Impact of drivers

PART 14: Market challenges

Lack of gesture-recognition-compatible games

Lack of standardization of gesture movements

Low value-addition of gesture recognition technology

Dependence on external lighting conditions

Fatigue caused by gesture recognition in users

Limited operating range of gesture-recognition-enabled

devices

PART 15: Impact of drivers and challenges

PART 16: Market trends

Increase in number of M&A

Availability of multifunctional gaming consoles

Development of in-house gesture recognition

technology

Power-free gesture recognition

Incorporation of gesture recognition by processor

manufacturers

PART 17: Vendor landscape

Competitive scenario

PART 18: Key vendor analysis

Microsoft

Sony 55

eyeSight Technologies

PointGrab

Samsung

PART 19: Appendix

List of abbreviation

PART 20: Explore Technavio 


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