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人机交互智能骑行头盔设计

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文章设计了一款人机交互智能安全头盔.该头盔主要由高性能BXC6332A芯片设计的蓝牙板块、语音控制模块、BDS/GPS双定位和MEMS压力传感器构成,实现骑行人员的安全监测和事故救援.该设计可实现利用语音来控制转向指示灯,使用压力传感器检测自行车事故,并实时收集定位和生命体征数据,然后与警报信息一并发送到云端.救援队伍可以追踪骑行者的位置和健康状态,以便在发生意外时迅速响应,确保及时救援,增强骑行安全.
Design of an intelligent helmet with human-computer interaction
This article introduces the design of an intelligent safety helmet with human-computer interaction,mainly consisting of several modules:a bluetooth module designed with the high-performance BXC6332A chip,voice control,BDS/GPS dual positioning,and MEMS pressure sensor.These components work together to monitor the safety of cyclists and facilitate accident rescue operations.The helmet allows for voice-controlled turn signal indicators,uses pressure sensors to detect bicycle accidents,and continuously collects location and vital signs data.This data,along with alert messages,is then sent to the cloud.Rescue teams can track the cyclist's location and health status,enabling them to respond quickly in case of an emergency,ensuring timely rescue and enhancing cycling safety.

BXC6332A chipBDS/GPS dual positioningMEMS pressure sensor

胡文霞、何宇、丁小荣、段文洋

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安徽三联学院 电子电气工程学院,安徽 合肥 230601

BXC6332A芯片 BDS/GPS双定位 MEMS压力传感器

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S202210959077

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(5)
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