CTRL-Labs was a brain-computer interface company specializing in electromyography (EMG)-based neural input technology. Founded in 2015, the company developed wrist-worn devices that could decode neural signals from muscle activity, enabling intuitive control of digital devices. CTRL-Labs was acquired by Meta (formerly Facebook) in 2019, and its technology has been integrated into Meta's AR/VR research efforts[1].
CTRL-Labs technology decodes motor cortex signals by detecting motor unit action potentials through surface EMG. The system leverages neuroplasticity—mediated by BDNF—to enable rapid calibration and intuitive control through synaptic plasticity[2].
While primarily a consumer technology, CTRL-Labs has potential clinical applications for ALS, a disease characterized by excitotoxicity:
For patients with incomplete injuries:
Potential applications leveraging dopamine-mediated motor learning:
CTRL-Labs technology detects motor intention through surface electromyography (sEMG):
The CTRL-Kit processes EMG signals in real-time:
| Stage | Processing | Latency |
|---|---|---|
| Acquisition | 16-channel EMG sampling | 1 ms |
| Preprocessing | Bandpass filtering (20-500 Hz) | 2 ms |
| Decomposition | Blind source separation | 5 ms |
| Classification | Neural network inference | 3 ms |
| Output | Digital command generation | 1 ms |
CTRL-Labs employed several ML approaches:
EMG-based neural interfaces benefit rehabilitation:
Relevant to several neurodegenerative conditions:
| Component | Specification |
|---|---|
| Channels | 16 EMG sensors |
| Sampling rate | 1 kHz per channel |
| Resolution | 16-bit ADC |
| Form factor | Wrist-worn band |
| Battery | 8 hours continuous |
| Connectivity | Bluetooth 5.0 |
After Meta's 2019 acquisition, CTRL-Labs technology evolved:
Wrist-Based Controllers:
Research Applications:
The CTRL-Labs technology is integrated into Meta's research:
| Feature | CTRL-Labs | Invasive BCI | EEG BCI | Eye Tracking |
|---|---|---|---|---|
| Invasiveness | Non-invasive | Surgical | Non-invasive | Non-invasive |
| Signal type | EMG | Neural spikes | Brain waves | Eye position |
| Precision | High | Very high | Moderate | High |
| Latency | <20 ms | <10 ms | >100 ms | <20 ms |
| Setup time | Minutes | Surgery | 10-20 min | Minutes |
CTRL-Labs made significant contributions:
| Feature | CTRL-Labs | Non-invasive EEG | Invasive BCI | Eye Tracking |
|---|---|---|---|---|
| Precision | High | Moderate | Very High | High |
| Latency | Low | Moderate | Low | Low |
| Setup Time | Minutes | Minutes | Surgery | Seconds |
| Safety | High | High | Low | High |
After acquisition by Meta:
The CTRL-Labs EMG-based approach relates to several neurodegenerative disease mechanisms:
CTRL-Labs contributed significantly to:
Meta. CTRL-Labs Acquisition Announcement. 2019. ↩︎
Research on BDNF-mediated synaptic plasticity in motor learning and BCI control:. Kleim et al., Neural Plasticity and Motor Learning (2021). 2021. ↩︎
CTRL-Labs. Technology Overview. ↩︎