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重力分量去除后仍有偏差

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lmx
2025-11-13 20:30:10 +08:00
parent 046986c5c3
commit b621ef7e44
29 changed files with 168502 additions and 167884 deletions
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583
apps/earphone/xtell_Sensor/calculate/skiing_tracker.c
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@ -6,77 +6,20 @@
#include <math.h>
#include <string.h>
#define ENABLE_XLOG 1
#ifdef xlog
#undef xlog
#endif
#if ENABLE_XLOG
#define xlog(format, ...) printf("[XT:%s] " format, __func__, ##__VA_ARGS__)
#else
#define xlog(format, ...) ((void)0)
#endif
#define G_ACCELERATION 9.81f
#define DEG_TO_RAD (3.14159265f / 180.0f)
// --- 静止检测 ---
//两个判断是否静止的必要条件：动态零速更新(ZUPT)阈值
// 加速方差阈值，提高阈值，让“刹车”更灵敏，以便在波浪式前进等慢速漂移时也能触发零速更新
#define STOP_ACC_VARIANCE_THRESHOLD 0.2f
// 陀螺仪方差阈值
#define STOP_GYR_VARIANCE_THRESHOLD 5.0f
// 静止时候的陀螺仪模长
#define STOP_GYR_MAG_THRESHOLD 15
// --- --- ---
// --- 启动滑雪阈值 ---
// 加速度模长与重力的差值大于此值，认为开始运动；降低阈值，让“油门”更灵敏，以便能捕捉到真实的慢速启动
#define START_SKIING_ACC_THRESHOLD 0.5f
// 陀螺仪方差阈值，以允许启动瞬间的正常抖动，但仍能过滤掉混乱的、非滑雪的晃动。
#define SKIING_GYR_VARIANCE_THRESHOLD 15.0f
// --- --- ---
// --- 滑雪过程 ---
//加速度 模长，低于此值视为 在做匀速运动
#define SKIING_ACC_MAG_THRESHOLD 0.5f
//陀螺仪 模长，高于此值视为 摔倒了
#define FALLEN_GRY_MAG_THRESHOLD 2000.0f //未确定
// --- --- ---
// --- 原地旋转抖动 ---
// 用于原地旋转判断的加速度方差阈值。此值比 静止检测 阈值更宽松，
// 以允许原地旋转时身体的正常晃动，但仍能与真实滑行时的剧烈加速度变化区分开。
#define ROTATING_ACC_VARIANCE_THRESHOLD 0.8f
// 旋转/摆动检测阈值：角速度总模长大于此值(度/秒)，认为正在进行非滑雪的旋转或摆动
#define ROTATION_GYR_MAG_THRESHOLD 120.0f
// --- --- ---
// --- 滑雪转弯动 ---
// 加速度方差阈值，大于此值，滑雪过程可能发生了急转弯
#define WHEEL_ACC_VARIANCE_THRESHOLD 7.0f
// 旋转/摆动检测阈值：角速度总模长大于此值(度/秒)，认为滑雪过程中进行急转弯
#define WHEEL_GYR_MAG_THRESHOLD 500.0f //
// --- --- ---
// --- 跳跃 ---
// 加速度模长低于此值(g)，认为进入失重状态(IN_AIR)
#define AIRBORNE_ACC_MAG_LOW_THRESHOLD 0.4f
// 加速度模长高于此值(g)，认为发生落地冲击(LANDING)
#define LANDING_ACC_MAG_HIGH_THRESHOLD 3.5f
// 起跳加速度阈值(g)，用于进入TAKING_OFF状态
#define TAKEOFF_ACC_MAG_HIGH_THRESHOLD 1.8f
// 进入空中状态确认计数：需要连续3个采样点加速度低于阈值才判断为起跳
#define AIRBORNE_CONFIRM_COUNT 3
// 落地状态确认计数：加速度恢复到1g附近并持续2个采样点(20ms)则认为已落地
#define GROUNDED_CONFIRM_COUNT 2
// 最大滞空时间(秒)，超过此时间强制认为已落地，防止状态锁死
#define MAX_TIME_IN_AIR 12.5f
// --- --- ---
// --- 用于消除积分漂移的滤波器和阈值 ---
// 高通滤波器系数 (alpha)。alpha 越接近1，滤除低频(直流偏移)的效果越强，但可能滤掉真实的慢速运动。
// alpha = RC / (RC + dt)，参考RC电路而来，fc ≈ (1 - alpha) / (2 * π * dt)
#define HPF_ALPHA 0.999
//0.995： 0.08 Hz 的信号
//0.999： 0.0159 Hz
// --- --- ---
// 加速度死区阈值 (m/s^2)。低于此阈值的加速度被认为是噪声，不参与积分。
// 设得太高会忽略真实的慢速启动，设得太低则无法有效抑制噪声。
#define ACC_DEAD_ZONE_THRESHOLD 0.05f
// --- 模拟摩擦力，进行速度衰减 ---
#define SPEED_ATTENUATION 1.0f //暂不模拟
BLE_KS_send_data_t KS_data;
#ifdef XTELL_TEST
@ -135,41 +78,54 @@ static void calculate_air_distance(skiing_tracker_t *tracker) {
tracker->distance += distance_in_air;
}
/**
* @brief 将设备坐标系下的加速度转换为世界坐标系
* @param acc_device 设备坐标系下的加速度 [x, y, z]
* @param angle 姿态角 [pitch, roll, yaw]，单位: 度
* @param acc_world 输出：世界坐标系下的加速度 [x, y, z]
*/
static void transform_acc_to_world_frame(const float *acc_device, const float *angle, float *acc_world)
{
// 驱动输出的角度与标准航空定义相反，需要取反才能用于标准旋转矩阵。
float pitch = -angle[0] * DEG_TO_RAD;
float roll = -angle[1] * DEG_TO_RAD;
// TODO: 当引入三轴磁力计后，这里的 yaw 应由磁力计和陀螺仪融合解算得出，以解决航向漂移问题。
// 目前 yaw 暂时不参与计算，因为仅靠加速度计和陀螺仪无法获得准确的绝对航向角。
// float yaw = -angle[2] * DEG_TO_RAD;
/**
* @brief 在设备坐标系下，从原始加速度数据中移除重力分量
* @param acc_device 输入：设备坐标系下的原始加速度 [x, y, z], 单位 m/s^2
* @param angle 输入：姿态角 [pitch, roll, yaw]，单位: 度
* @param acc_linear_device 输出：设备坐标系下移除重力后的线性加速度 [x, y, z]
*/
void remove_gravity_in_device_frame(const float *acc_device, const float *angle, float *acc_linear_device)
{
float pitch = angle[0] * DEG_TO_RAD; // 绕 Y 轴
float roll = angle[1] * DEG_TO_RAD; // 绕 X 轴
float yaw = angle[2] * DEG_TO_RAD; // 绕 Z 轴
float cp = cosf(pitch);
float sp = sinf(pitch);
float cr = cosf(roll);
float sr = sinf(roll);
float cy = cosf(yaw);
float sy = sinf(yaw);
float ax = acc_device[0];
float ay = acc_device[1];
float az = acc_device[2];
// 世界坐标系下的重力矢量
const float g_world[3] = {0.0f, 0.0f, G_ACCELERATION};
// 使用经过验证的、正确的身体坐标系到世界坐标系的旋转矩阵 (基于 Y-X 旋转顺序)
// 这个矩阵将设备测量的加速度(ax, ay, az)正确地转换到世界坐标系(acc_world)。
// 注意：这里没有使用yaw，主要关心的是坡面上的运动，绝对航向暂时不影响速度和距离的计算。
// TODO
acc_world[0] = cp * ax + sp * sr * ay + sp * cr * az;
acc_world[1] = 0 * ax + cr * ay - sr * az;
acc_world[2] = -sp * ax + cp * sr * ay + cp * cr * az;
// 计算旋转矩阵 R 的转置矩阵 R_transpose
// R (Z-Y-X) =
// [ cy*cp, cy*sp*sr - sy*cr, cy*sp*cr + sy*sr]
// [ sy*cp, sy*sp*sr + cy*cr, sy*sp*cr - cy*sr]
// [ -sp, cp*sr, cp*cr ]
//
// R_transpose =
// [ cy*cp, sy*cp, -sp ]
// [ cy*sp*sr - sy*cr, sy*sp*sr + cy*cr, cp*sr ]
// [ cy*sp*cr + sy*sr, sy*sp*cr - cy*sr, cp*cr ]
// 计算重力在设备坐标系下的投影 G_device = R_transpose * G_world
// 由于 G_world 只有 z 分量，计算可以简化
float g_device[3];
g_device[0] = (-sp) * g_world[2];
g_device[1] = (cp * sr) * g_world[2];
g_device[2] = (cp * cr) * g_world[2];
// 从原始设备加速度中减去重力投影
acc_linear_device[0] = acc_device[0] - g_device[0];
acc_linear_device[1] = acc_device[1] - g_device[1];
acc_linear_device[2] = acc_device[2] - g_device[2];
}
/**
* @brief 计算缓冲区内三轴数据的方差之和
*
@ -205,157 +161,7 @@ static float calculate_variance(float buffer[VARIANCE_BUFFER_SIZE][3])
return variance[0] + variance[1] + variance[2];
}
/**
* @brief 摩擦力模拟，进行速度衰减
*
* @param tracker
*/
void forece_of_friction(skiing_tracker_t *tracker){
// 增加速度衰减，模拟摩擦力
tracker->velocity[0] *= SPEED_ATTENUATION;
tracker->velocity[1] *= SPEED_ATTENUATION;
tracker->velocity[2] = 0; // 垂直速度强制归零
}
/**
* @brief 状态机更新
*
* @param tracker 传入同步修改后传出
* @param acc_device_ms2 三轴加速度，m/s^2
* @param gyr_dps 三轴陀螺仪，dps
*/
static void update_state_machine(skiing_tracker_t *tracker, const float *acc_device_ms2, const float *gyr_dps)
{
// 缓冲区未填满时，不进行状态判断，默认为静止
if (!tracker->buffer_filled) {
tracker->state = STATIC;
return;
}
// --- 计算关键指标 ---
float acc_variance = calculate_variance(tracker->acc_buffer); // 计算加速度方差
float gyr_variance = calculate_variance(tracker->gyr_buffer); // 计算陀螺仪方差
float gyr_magnitude = sqrtf(gyr_dps[0]*gyr_dps[0] + gyr_dps[1]*gyr_dps[1] + gyr_dps[2]*gyr_dps[2]);
float acc_magnitude = sqrtf(acc_device_ms2[0]*acc_device_ms2[0] + acc_device_ms2[1]*acc_device_ms2[1] + acc_device_ms2[2]*acc_device_ms2[2]);
float acc_magnitude_g = acc_magnitude / G_ACCELERATION; // 转换为g单位，用于跳跃判断
#ifdef XTELL_TEST
debug1.acc_variance =acc_variance;
debug1.gyr_variance =gyr_variance;
debug1.gyr_magnitude=gyr_magnitude;
debug1.acc_magnitude=fabsf(acc_magnitude - G_ACCELERATION);
#endif
// --- 状态机逻辑 (核心修改区域) ---
#if 0 //暂时不考虑空中
// 1. 空中/落地状态的后续处理
if (tracker->state == IN_AIR) {
// A. 检测巨大冲击 -> 落地
if (acc_magnitude_g > LANDING_ACC_MAG_HIGH_THRESHOLD) {
tracker->state = LANDING;
// B. 检测超时 -> 强制落地 (安全机制)
} else if (tracker->time_in_air > MAX_TIME_IN_AIR) {
tracker->state = LANDING;
// C. 检测恢复正常重力 (平缓落地)
} else if (acc_magnitude_g > 0.8f && acc_magnitude_g < 1.5f) {
tracker->grounded_entry_counter++;
if (tracker->grounded_entry_counter >= GROUNDED_CONFIRM_COUNT) {
tracker->state = LANDING;
}
} else {
tracker->grounded_entry_counter = 0;
}
return; // 在空中或刚切换到落地，结束本次状态判断
}
// 2. 严格的 "起跳->空中" 状态转换逻辑
// 只有当处于滑行状态时，才去检测起跳意图
if (tracker->state == NO_CONSTANT_SPEED || tracker->state == CONSTANT_SPEED || tracker->state == WHEEL) {
if (acc_magnitude_g > TAKEOFF_ACC_MAG_HIGH_THRESHOLD) {
tracker->state = TAKING_OFF;
tracker->airborne_entry_counter = 0; // 准备检测失重
return;
}
}
// 只有在TAKING_OFF状态下，才去检测是否进入失重
if (tracker->state == TAKING_OFF) {
if (acc_magnitude_g < AIRBORNE_ACC_MAG_LOW_THRESHOLD) {
tracker->airborne_entry_counter++;
if (tracker->airborne_entry_counter >= AIRBORNE_CONFIRM_COUNT) {
memcpy(tracker->initial_velocity_on_takeoff, tracker->velocity, sizeof(tracker->velocity));
tracker->time_in_air = 0;
tracker->state = IN_AIR;
tracker->airborne_entry_counter = 0;
tracker->grounded_entry_counter = 0;
return;
}
} else {
// 如果在起跳冲击后一段时间内没有失重，说明只是一个颠簸，恢复滑行
// 可以加一个小的超时计数器，这里为了简单先直接恢复
tracker->state = NO_CONSTANT_SPEED;
}
return; // 无论是否切换，都结束本次判断
}
#endif
// --- 静止判断 ---
if (acc_variance < STOP_ACC_VARIANCE_THRESHOLD && gyr_variance < STOP_GYR_VARIANCE_THRESHOLD && gyr_magnitude < STOP_GYR_MAG_THRESHOLD) {
tracker->state = STATIC;
return;
}
// --- 地面状态切换逻辑 ---
switch (tracker->state) {
case LANDING:
tracker->state = STATIC;
break;
case STATIC:
//不break，会往下执行，判断是否进入非匀速状态
case ROTATING: // 从静止或原地旋转可以启动
if (fabsf(acc_magnitude - G_ACCELERATION) > START_SKIING_ACC_THRESHOLD && gyr_variance > SKIING_GYR_VARIANCE_THRESHOLD) {
tracker->state = NO_CONSTANT_SPEED;
} else if (gyr_magnitude > ROTATION_GYR_MAG_THRESHOLD && acc_variance < ROTATING_ACC_VARIANCE_THRESHOLD) {
tracker->state = ROTATING;
}
break;
case NO_CONSTANT_SPEED: //非匀速状态
//暂时不考虑摔倒
// if (gyr_magnitude > FALLEN_GRY_MAG_THRESHOLD) {
// tracker->state = FALLEN; //摔倒
// } else
if (gyr_magnitude > WHEEL_GYR_MAG_THRESHOLD && acc_variance > WHEEL_ACC_VARIANCE_THRESHOLD) {
tracker->state = WHEEL; //转弯
} else if (fabsf(acc_magnitude - G_ACCELERATION) < SKIING_ACC_MAG_THRESHOLD) {
tracker->state = CONSTANT_SPEED; //匀速
}
break;
case CONSTANT_SPEED: //匀速状态
if (fabsf(acc_magnitude - G_ACCELERATION) > START_SKIING_ACC_THRESHOLD) {
tracker->state = NO_CONSTANT_SPEED;
}
//TODO：可以添加进入转弯或摔倒的判断
break;
case WHEEL:
// 从转弯状态，检查转弯是否结束
// 如果角速度和加速度方差都降下来了，就回到普通滑行状态
if (gyr_magnitude < WHEEL_GYR_MAG_THRESHOLD * 0.8f && acc_variance < WHEEL_ACC_VARIANCE_THRESHOLD * 0.8f) { // 乘以一个滞后系数避免抖动
tracker->state = NO_CONSTANT_SPEED;
}
break;
case FALLEN:
// TODO：回到 STATIC
break;
}
}
/**
@ -381,237 +187,30 @@ void skiing_tracker_update(skiing_tracker_t *tracker, float *acc_g, float *gyr_d
acc_device_ms2[1] = acc_g[1] * G_ACCELERATION;
acc_device_ms2[2] = acc_g[2] * G_ACCELERATION;
// 将最新数据存入缓冲区
memcpy(tracker->acc_buffer[tracker->buffer_index], acc_device_ms2, sizeof(acc_device_ms2));
memcpy(tracker->gyr_buffer[tracker->buffer_index], gyr_dps, 3 * sizeof(float));
#if 1 //测试禁止状态下陀螺仪的三轴加速度，去掉重力分量后是否正常
float tmp_device_acc[3];
extern void remove_gravity_in_device_frame(const float *acc_device, const float *angle, float *acc_linear_device);
remove_gravity_in_device_frame(acc_device_ms2,angle,tmp_device_acc);
// 计算处理后加速度的水平模长
float all_device_mag = sqrtf(tmp_device_acc[0] * tmp_device_acc[0] +
tmp_device_acc[1] * tmp_device_acc[1] +
tmp_device_acc[2] * tmp_device_acc[2]);
static int count = 0;
if(count > 100){
xlog("===original(g): x %.2f, y %.2f, z %.2f===\n",acc_g[0],acc_g[1],acc_g[2]);
xlog("===device(m/s^2) no g: x %.2f, y %.2f, z %.2f, all %.2f===\n",tmp_device_acc[0],tmp_device_acc[1],tmp_device_acc[2],all_device_mag); //去掉重力加速度
xlog("===gyr(dps) : x %.2f, y %.2f, z %.2f, all %.2f===\n",gyr_dps[0],gyr_dps[1],gyr_dps[2]); //angle
xlog("===angle : x %.2f, y %.2f, z %.2f,===\n",angle[0],angle[1],angle[2]);
count = 0;
}
count++;
tracker->buffer_index++;
if (tracker->buffer_index >= VARIANCE_BUFFER_SIZE) {
tracker->buffer_index = 0;
tracker->buffer_filled = 1; // 标记缓冲区已满
}
#endif
// --- 更新状态机 ---
update_state_machine(tracker, acc_device_ms2, gyr_dps);
#if 1
// --- 根据状态执行不同的计算逻辑 ---
switch (tracker->state) {
case TAKING_OFF:
tracker->speed = 0.0f;
break;
case IN_AIR:
// 在空中时，只累加滞空时间
tracker->time_in_air += dt;
break;
case LANDING:
// 刚落地，计算空中距离
calculate_air_distance(tracker);
// 清理速度和滤波器状态，为恢复地面追踪做准备
memset(tracker->velocity, 0, sizeof(tracker->velocity));
tracker->speed = 0;
memset(tracker->acc_world_unfiltered_prev, 0, sizeof(tracker->acc_world_unfiltered_prev));
memset(tracker->acc_world_filtered, 0, sizeof(tracker->acc_world_filtered));
break;
case WHEEL:
case NO_CONSTANT_SPEED:
transform_acc_to_world_frame(acc_device_ms2, angle, tracker->acc_world);
tracker->acc_world[2] -= G_ACCELERATION;
for (int i = 0; i < 3; i++) {
tracker->acc_world_filtered[i] = HPF_ALPHA * (tracker->acc_world_filtered[i] + tracker->acc_world[i] - tracker->acc_world_unfiltered_prev[i]);
tracker->acc_world_unfiltered_prev[i] = tracker->acc_world[i];
}
float acc_horizontal_mag = sqrtf(tracker->acc_world_filtered[0] * tracker->acc_world_filtered[0] +
tracker->acc_world_filtered[1] * tracker->acc_world_filtered[1]);
if (acc_horizontal_mag > ACC_DEAD_ZONE_THRESHOLD) {
tracker->velocity[0] += tracker->acc_world_filtered[0] * dt;
tracker->velocity[1] += tracker->acc_world_filtered[1] * dt;
}
tracker->speed = sqrtf(tracker->velocity[0] * tracker->velocity[0] +
tracker->velocity[1] * tracker->velocity[1]);
tracker->distance += tracker->speed * dt;
break;
case CONSTANT_SPEED:
//保持上次的速度不变。只更新距离
tracker->distance += tracker->speed * dt;
break;
case STATIC:
// 速度清零，抑制漂移
memset(tracker->velocity, 0, sizeof(tracker->velocity));
tracker->speed = 0.0f;
memset(tracker->acc_world_unfiltered_prev, 0, sizeof(tracker->acc_world_unfiltered_prev));
memset(tracker->acc_world_filtered, 0, sizeof(tracker->acc_world_filtered));
break;
case ROTATING:
tracker->speed = 0.0f;
break;
case FALLEN:
// TODO
break;
default:
break;
}
#else
// 坐标转换 & 移除重力
transform_acc_to_world_frame(acc_device_ms2, angle, tracker->acc_world);
tracker->acc_world[2] -= G_ACCELERATION;
// 对世界坐标系下的加速度进行高通滤波，消除直流偏置和重力残差
for (int i = 0; i < 3; i++) {
tracker->acc_world_filtered[i] = HPF_ALPHA * (tracker->acc_world_filtered[i] + tracker->acc_world[i] - tracker->acc_world_unfiltered_prev[i]);
tracker->acc_world_unfiltered_prev[i] = tracker->acc_world[i];
}
// 应用加速度死区，忽略微小抖动和噪声
float acc_horizontal_mag = sqrtf(tracker->acc_world_filtered[0] * tracker->acc_world_filtered[0] +
tracker->acc_world_filtered[1] * tracker->acc_world_filtered[1]);
// --- 根据状态进行计算 ---
if (tracker->state == NO_CONSTANT_SPEED) { //非匀速
if (acc_horizontal_mag > ACC_DEAD_ZONE_THRESHOLD) {
// 只有当水平加速度足够大时，才进行速度积分
tracker->velocity[0] += tracker->acc_world_filtered[0] * dt;
tracker->velocity[1] += tracker->acc_world_filtered[1] * dt;
// 垂直方向的速度暂时不积分，极易受姿态误差影响而漂移
// tracker->velocity[2] += tracker->acc_world_filtered[2] * dt;
}
#ifdef XTELL_TEST
debug2.acc_magnitude = acc_horizontal_mag;
#endif
// 如果加速度小于阈值，则不更新速度，相当于速度保持不变（或受下一步的阻尼影响而衰减）
// --- 更新速率和距离 ---
// 只基于水平速度计算速率和距离
tracker->speed = sqrtf(tracker->velocity[0] * tracker->velocity[0] +
tracker->velocity[1] * tracker->velocity[1]);
tracker->distance += tracker->speed * dt;
}else if(tracker->state == CONSTANT_SPEED){ //匀速
//保持上次的速度不变。只更新距离
tracker->distance += tracker->speed * dt;
}else if(tracker->state == WHEEL){ //转弯
//暂时：保持上次的速度不变。只更新距离
tracker->distance += tracker->speed * dt;
}else{
// 在静止或旋转状态下，速度已经在状态机内部被清零
// 额外增加速度衰减，模拟摩擦力，进一步抑制漂移
tracker->velocity[0] *= SPEED_ATTENUATION;
tracker->velocity[1] *= SPEED_ATTENUATION;
tracker->velocity[2] = 0; // 垂直速度强制归零
}
#endif
}
#if 0
/**
* @brief 传感器数据采集与处理任务，外部每10ms调用一次，如果需要更新时间间隔，也需要同步更新宏“ DELTA_TIME ”
* 使用到了卡尔曼
* @param acc_data_buf 三轴加速度原始数据
* @param gyr_data_buf 三轴陀螺仪原始数据
* @return BLE_send_data_t
*/
BLE_send_data_t sensor_processing_task(signed short * acc_data_buf, signed short * gyr_data_buf) {
static int initialized = 0;
static int calibration_done = 0;
static signed short combined_raw_data[6];
static float final_angle_data[3]; // 计算得到的欧若拉角
static float calibrated_acc_g[3]; // 转换后的加速度计数据
static float calibrated_gyr_dps[3]; // 转换后的陀螺仪数据
const float delta_time = DELTA_TIME + 0.03f;
BLE_send_data_t BLE_send_data;
if (!initialized) {
skiing_tracker_init(&my_skiing_tracker);
initialized = 1;
printf("Skiing Tracker Initialized. Waiting for sensor calibration...\n");
}
memcpy(&combined_raw_data[0], acc_data_buf, 3 * sizeof(signed short));
memcpy(&combined_raw_data[3], gyr_data_buf, 3 * sizeof(signed short));
unsigned char status;
if (!calibration_done) { //第1次启动，开启零漂检测
status = Original_SL_SC7U22_Angle_Output(1, combined_raw_data, final_angle_data, 0);
if (status == 1) {
calibration_done = 1;
printf("Sensor calibration successful! Skiing mode is active.\n");
}
} else {
// printf("Calculate the time interval =============== start\n");
status = Original_SL_SC7U22_Angle_Output(0, combined_raw_data, final_angle_data, 0);
}
if (status == 1) {
// 加速度 LSB to g
calibrated_acc_g[0] = (float)combined_raw_data[0] / 8192.0f;
calibrated_acc_g[1] = (float)combined_raw_data[1] / 8192.0f;
calibrated_acc_g[2] = (float)combined_raw_data[2] / 8192.0f;
// 陀螺仪 LSB to dps (度/秒)
// ±2000dps量程下，转换系数约为 0.061
calibrated_gyr_dps[0] = (float)combined_raw_data[3] * 0.061f;
calibrated_gyr_dps[1] = (float)combined_raw_data[4] * 0.061f;
calibrated_gyr_dps[2] = (float)combined_raw_data[5] * 0.061f;
skiing_tracker_update(&my_skiing_tracker, calibrated_acc_g, calibrated_gyr_dps, final_angle_data, delta_time);
// static int count = 0;
// if(count >= 10){
// printf("State: %d, Speed: %.2f m/s, Distance: %.2f m\n",
// my_skiing_tracker.state,
// my_skiing_tracker.speed,
// my_skiing_tracker.distance);
// printf("calibrated_acc_g: %.2f, %.2f, %.2f\n",
// calibrated_acc_g[0],
// calibrated_acc_g[1],
// calibrated_acc_g[2]);
// count = 0;
// } else {
// count++;
// }
BLE_send_data.sensor_state = status;
BLE_send_data.skiing_state = my_skiing_tracker.state;
for (int i = 0; i < 3; i++) {
// #ifndef XTELL_TEST
BLE_send_data.acc_original[i] = (int)acc_data_buf[i];
BLE_send_data.gyr_original[i] = (int)gyr_data_buf[i];
BLE_send_data.Angle[i] = final_angle_data[i];
// #endif
#if KS_BLE
KS_data.acc_KS[i] = (int)(calibrated_acc_g[i] * G_ACCELERATION * 100); //cm/s^s
KS_data.gyr_KS_dps[i] = (int)calibrated_gyr_dps[i];
KS_data.angle_KS[i] = (int)final_angle_data[i];
#endif
}
BLE_send_data.speed_cms = (int)(my_skiing_tracker.speed * 100);
BLE_send_data.distance_cm = (int)(my_skiing_tracker.distance * 100);
// printf("Calculate the time interval =============== end\n");
} else if (status == 0) {
memset(&BLE_send_data, 0, sizeof(BLE_send_data_t));
BLE_send_data.sensor_state = status;
#if KS_BLE
memset(&KS_data, 0, sizeof(BLE_send_data_t));
#endif
// printf("Sensor is calibrating...\n");
} else {
memset(&BLE_send_data, 0, sizeof(BLE_send_data_t));
BLE_send_data.sensor_state = status;
#if KS_BLE
memset(&KS_data, 0, sizeof(BLE_send_data_t));
#endif
// printf("Angle calculation error or calibration not finished.\n");
}
return BLE_send_data;
}
#else
/**
* @brief 滑雪数据计算
@ -638,6 +237,14 @@ BLE_send_data_t sensor_processing_task(signed short* acc_data_buf, signed short*
printf("Skiing Tracker Initialized. Waiting for sensor calibration...\n");
}
#if ACC_RANGE==2
// 加速度 LSB to g
acc_data_g[0] = (float)acc_data_buf[0] / 16384.0f;
acc_data_g[1] = (float)acc_data_buf[1] / 16384.0f;
acc_data_g[2] = (float)acc_data_buf[2] / 16384.0f;
#endif
#if ACC_RANGE==4
// 加速度 LSB to g
acc_data_g[0] = (float)acc_data_buf[0] / 8192.0f;
@ -645,6 +252,13 @@ BLE_send_data_t sensor_processing_task(signed short* acc_data_buf, signed short*
acc_data_g[2] = (float)acc_data_buf[2] / 8192.0f;
#endif
#if ACC_RANGE==8
//±8g 4096
acc_data_g[0] = (float)acc_data_buf[0] / 4096.0f; //ax
acc_data_g[1] = (float)acc_data_buf[1] / 4096.0f; //ay
acc_data_g[2] = (float)acc_data_buf[2] / 4096.0f; //az
#endif
#if ACC_RANGE==16
//±16g 2048
acc_data_g[0] = (float)acc_data_buf[0] / 2048.0f; //ax
@ -660,23 +274,22 @@ BLE_send_data_t sensor_processing_task(signed short* acc_data_buf, signed short*
skiing_tracker_update(&my_skiing_tracker, acc_data_g, gyr_data_dps, angle_data, delta_time);
BLE_send_data.skiing_state = my_skiing_tracker.state;
for (int i = 0; i < 3; i++) {
#ifdef XTELL_TEST
BLE_send_data.acc_data[i] = (short)(acc_data_g[i] * 9.8f) * 100; //cm/^s2
BLE_send_data.gyr_data[i] = (short)gyr_data_dps[i]; //dps
BLE_send_data.angle_data[i] = angle_data[i];
#else
BLE_send_data.acc_data[i] = (short)acc_data_buf[i]; //原始adc数据
BLE_send_data.gyr_data[i] = (short)gyr_data_buf[i]; //原始adc数据
BLE_send_data.angle_data[i] = angle_data[i];
#endif
}
BLE_send_data.speed_cms = (int)(my_skiing_tracker.speed * 100);
BLE_send_data.distance_cm = (int)(my_skiing_tracker.distance * 100);
// printf("Calculate the time interval =============== end\n");
// BLE_send_data.skiing_state = my_skiing_tracker.state;
// for (int i = 0; i < 3; i++) {
// #ifdef XTELL_TEST
// BLE_send_data.acc_data[i] = (short)(acc_data_g[i] * 9.8f) * 100; //cm/^s2
// BLE_send_data.gyr_data[i] = (short)gyr_data_dps[i]; //dps
// BLE_send_data.angle_data[i] = angle_data[i];
// #else
// BLE_send_data.acc_data[i] = (short)acc_data_buf[i]; //原始adc数据
// BLE_send_data.gyr_data[i] = (short)gyr_data_buf[i]; //原始adc数据
// BLE_send_data.angle_data[i] = angle_data[i];
// #endif
// }
// BLE_send_data.speed_cms = (int)(my_skiing_tracker.speed * 100);
// BLE_send_data.distance_cm = (int)(my_skiing_tracker.distance * 100);
// // printf("Calculate the time interval =============== end\n");
return BLE_send_data;
}
#endif

18
apps/earphone/xtell_Sensor/calculate/skiing_tracker.h
View File

@ -7,14 +7,14 @@ typedef enum {
STATIC, // 静止或动态稳定：0
NO_CONSTANT_SPEED, // 正在滑雪，非匀速：1
CONSTANT_SPEED, // 正在滑雪，匀速：2
ROTATING, // 正在原地旋转：
WHEEL, // 转弯：3
FALLEN, // 已摔倒：4
TAKING_OFF, // 起跳冲击阶段：5
IN_AIR, // 空中失重阶段：6
LANDING, // 落地冲击阶段：7
STOP_DETECTION, // 停止检测：8
UNKNOWN // 未知状态：9
WOBBLE, // 正在原地旋转：3
WHEEL, // 转弯：4
FALLEN, // 已摔倒：5
TAKING_OFF, // 起跳冲击阶段：6
IN_AIR, // 空中失重阶段：7
LANDING, // 落地冲击阶段：8
STOP_DETECTION, // 停止检测：9
UNKNOWN // 未知状态：10
} skiing_state_t;
#define VARIANCE_BUFFER_SIZE 5 // 用于计算方差的数据窗口大小 (5个样本 @ 100Hz = 50ms)，减小延迟，提高实时性
@ -48,6 +48,8 @@ typedef struct {
// 用于高通滤波器（巴特沃斯一阶滤波器）的私有成员，以消除加速度的直流偏置
float acc_world_filtered[3]; //过滤过的
float acc_world_unfiltered_prev[3]; //上一次没过滤的
float acc_world_lpf[3]; // 经过低通滤波后的世界坐标系加速度
} skiing_tracker_t;
//ble发送的数据