Creator Ray
Version 1.0.0
Created 2025-09-30
Availability 100%, 24/7
In Stock 5 units
Assets 3 files
Install this molecule

Paste this into Claude Code (VS Code panel, Adom editor, or terminal) to install:

Search the Adom Wiki for the molecule "BMA400" (slug: bma400-406700) at https://wiki-ufypy5dpx93o.adom.cloud/wiki/molecules/bma400-406700. Download its symbol (.kicad_sym), footprint (.kicad_mod), and 3D model (.glb/.step) assets into my current KiCad project under symbols/, footprints/, and 3dmodels/ directories. Register them in the project library tables. Show me the files once installed.

The BMA400 is an ultra-low-power, 12-bit digital accelerometer from Bosch Sensortec. It is a triaxial sensor, meaning it measures acceleration along three perpendicular axes (X, Y, and Z).

This component is specifically engineered for applications where battery life is critical, such as wearables and Internet of Things (IoT) devices. It achieves its extremely low power consumption by integrating smart, on-chip features that can run independently of a main microcontroller. These features include a step counter, activity recognition, and tap/double-tap sensing, which can wake the system from sleep only when specific motions are detected.

NSF Relevance

This accelerometer's ultra-low power consumption enables long-term, autonomous data collection in previously inaccessible contexts. Its primary contribution is solving the battery-life bottleneck that plagues field research. Scientists can now design and deploy wearables for longitudinal biomedical studies, tracking patient activity or rehabilitation progress over months, not just days. In ecology, it allows for the creation of lightweight tags to monitor animal behavior in the wild with minimal disturbance. Furthermore, the on-chip features for activity and event recognition are critical; they allow the sensor to act as an intelligent filter, waking the main system only when a scientifically relevant motion occurs. This prevents the battery from being wasted on recording or transmitting gigabytes of irrelevant data, ensuring that precious energy is spent only on capturing the events that matter.

Science Drivers

bosch_sensortec

Created by: noah Version: v1 Category: other

Description

Edit AI Skill

The BMA400 is an ultra-low-power, 12-bit digital accelerometer from Bosch Sensortec. It is a triaxial sensor, meaning it measures acceleration along three perpendicular axes (X, Y, and Z).

This component is specifically engineered for applications where battery life is critical, such as wearables and Internet of Things (IoT) devices. It achieves its extremely low power consumption by integrating smart, on-chip features that can run independently of a main microcontroller. These features include a step counter, activity recognition, and tap/double-tap sensing, which can wake the system from sleep only when specific motions are detected.

NSF Relevance

NSF

This accelerometer's ultra-low power consumption enables long-term, autonomous data collection in previously inaccessible contexts. Its primary contribution is solving the battery-life bottleneck that plagues field research. Scientists can now design and deploy wearables for longitudinal biomedical studies, tracking patient activity or rehabilitation progress over months, not just days. In ecology, it allows for the creation of lightweight tags to monitor animal behavior in the wild with minimal disturbance. Furthermore, the on-chip features for activity and event recognition are critical; they allow the sensor to act as an intelligent filter, waking the main system only when a scientifically relevant motion occurs. This prevents the battery from being wasted on recording or transmitting gigabytes of irrelevant data, ensuring that precious energy is spent only on capturing the events that matter.

3D Model

Files

Download ZIP
3D BMA400.glb 3D Model

AI Skill Technical Reference

Edit AI Skill

BMA400

Type: Adom Molecule Creator: noah Version: v1 Category: other Availability: 100%, 24/7

Overview

The BMA400 is an ultra-low-power, 12-bit digital accelerometer from Bosch Sensortec. It is a triaxial sensor, meaning it measures acceleration along three perpendicular axes (X, Y, and Z).

This component is specifically engineered for applications where battery life is critical, such as wearables and Internet of Things (IoT) devices. It achieves its extremely low power consumption by integrating smart, on-chip features that can run independently of a main microcontroller. These features include a step counter, activity recognition, and tap/double-tap sensing, which can wake the system from sleep only when specific motions are detected.

Science Drivers

  • bosch sensortec

NSF Relevance

This accelerometer's ultra-low power consumption enables long-term, autonomous data collection in previously inaccessible contexts. Its primary contribution is solving the battery-life bottleneck that plagues field research. Scientists can now design and deploy wearables for longitudinal biomedical studies, tracking patient activity or rehabilitation progress over months, not just days. In ecology, it allows for the creation of lightweight tags to monitor animal behavior in the wild with minimal disturbance. Furthermore, the on-chip features for activity and event recognition are critical; they allow the sensor to act as an intelligent filter, waking the main system only when a scientifically relevant motion occurs. This prevents the battery from being wasted on recording or transmitting gigabytes of irrelevant data, ensuring that precious energy is spent only on capturing the events that matter.

Integration Guide

To use BMA400 in your design:

  1. Download the schematic symbol and PCB footprint from the Files section
  2. Import into your EDA tool (KiCad or Fusion 360 / EAGLE)
  3. Place the molecule in your schematic and connect the interface pins
  4. Use the 3D model (.glb) for mechanical fit verification

Design Notes

Board design files (.brd, .sch, .f3d) are available for modification and reference.

Sub-Skills
?
What are Sub-Skills?

Sub-skills are community-contributed AI skill extensions for this component. They teach AI assistants about specific tools, configurators, or workflows.

Examples:

  • A manufacturer’s configuration tool for a motor controller
  • A community-written design guide for an amplifier circuit
  • An automated test/validation script for a sensor module

How to add one: Click Add Sub-Skill, provide the URL to your skill and a brief description. Submissions are reviewed by the Adom team before going live.

No sub-skills yet. Be the first to contribute one!

0 revisions · Molecule #3012310045166406700 · Updated 2026-03-02 17:31:36